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return (int(status), text) | return (int(status), "\n".join(text)) | def _read_reply(self): """Reads a (possibly multi-line) response from the server. Returns a tuple containing (code, text)""" text = "" while True: line = self._fd.readline().rstrip() if not line: raise RuntimeError("Protocol error, empty line received") | a69ac806cad0f7a43e2c9d874af69a8ed76054e7 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/8495/a69ac806cad0f7a43e2c9d874af69a8ed76054e7/protocol.py | [
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options.modes = [ options.mode ] | options.modes = [options.mode] | def main(options): """ >>> options = parseOptions() >>> options.dryrun = True >>> options.verbose = True >>> main(options) False Try and run a test that does not exist >>> options.single = 'TestFoo.py' >>> main(options) Test(s) not found False Try different single tests single unit test: >>> options.single = 'TestCrypto' >>> main(options) /.../RunPython... application/tests/TestCrypto.py -v - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + False unit test and functional test: >>> options.single = 'TestCrypto,TestSharing' >>> main(options) /.../RunChandler... --create --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --chandlerTests=TestSharing -D2 -M0 - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + /.../RunPython... application/tests/TestCrypto.py -v - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + False unit, functional and two perf tests, one of which is a startup test: >>> options.single = 'TestCrypto,TestSharing,PerfImportCalendar,startup_large' >>> main(options) /.../RunChandler... --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --catsPerfLog=test_profile/time.log --scriptFile=tools/QATestScripts/Performance/PerfImportCalendar.py --create PerfImportCalendar.py 0.00 - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + | 0.00 ... 0.00 /.../RunChandler... --create --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --chandlerTests=TestSharing -D2 -M0 ... /.../RunPython... application/tests/TestCrypto.py -v ... Creating repository for startup time tests ... Startup_with_large_calendar ... ... False Try and specify an invalid mode >>> options.single = '' >>> options.mode = 'foo' >>> main(options) foo removed from mode list foo mode requested but not found -- stopping test run True Run unit tests with --dryrun >>> options.mode = None >>> options.unit = True >>> main(options) /.../RunPython... .../tests/TestReferenceAttributes.py -v ... /.../RunPython... setup.py test -v ... False Run unitSuite with --dryrun >>> options.unit = False >>> options.unitSuite = True >>> main(options) /.../RunPython... tools/run_tests.py -v application i18n osaf repository - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + False Run functional tests with --dryrun >>> options.unit = False >>> options.unitSuite = False >>> options.funcSuite = True >>> main(options) /.../RunChandler... --create --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --scriptFile=tools/cats/Functional/FunctionalTestSuite.py -D2 -M0 - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + False Run functional tests each in its on process >>> options.funcSuite = False >>> options.func = True >>> main(options) /.../RunChandler... --create --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --chandlerTests=TestAllDayEvent -D2 -M0 - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + ... False Run performance tests with --dryrun >>> options.func = False >>> options.perf = True >>> options.profile = False >>> main(options) /.../RunChandler... --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --catsPerfLog=test_profile/time.log --scriptFile=tools/QATestScripts/Performance/PerfImportCalendar.py --create PerfImportCalendar.py ... ... /.../RunChandler... --catch=tests --profileDir=test_profile --parcelPath=tools/cats/DataFiles --catsPerfLog=test_profile/time.log --scriptFile=tools/QATestScripts/Performance/PerfLargeDataResizeCalendar.py --restore=test_profile/__repository__.001 PerfLargeDataResizeCalendar.py ... ... Creating repository for startup time tests ... Startup ... ... False """ checkOptions(options) failed = False if options.mode is None: options.modes = modes = ['release', 'debug'] # silently clear any missing modes if default list is specified for mode in modes: if not os.path.isdir(os.path.join(options.chandlerBin, mode)): options.modes.remove(mode) else: options.mode = options.mode.strip().lower() options.modes = [ options.mode ] # complain about any missing modes if mode was explicitly stated if not os.path.isdir(os.path.join(options.chandlerBin, options.mode)): options.modes.remove(options.mode) log('%s removed from mode list' % options.mode) if len(options.modes) == 0: log('%s mode requested but not found -- stopping test run' % options.mode) failed = True if not failed: try: # Empty the log file so that we won't be confused by old results later f = open(os.path.join(options.profileDir, 'chandler.log'), 'w') f.close() except IOError: pass # Remove old perf log files (we leave the the latest) for f in glob.glob(os.path.join(options.profileDir, '*.log.*')): try: os.remove(f) except OSError: pass if options.testcase: failed = runTestCase(options) elif options.single: failed = runSingles(options) else: if not options.perf: failed = runLocalizationCheck(options) if options.unit and (not failed or options.noStop): failed = runUnitTests(options) if not failed or options.noStop: if runPluginTests(options): failed = True if options.unitSuite and (not failed or options.noStop): if runUnitSuite(options): failed = True if options.funcSuite and (not failed or options.noStop): if runFuncTest(options): failed = True if options.func and (not failed or options.noStop): if runFuncTestsSingly(options): failed = True if options.recorded and (not failed or options.noStop): if runRecordedScripts(options): failed = True if options.perf and (not failed or options.noStop): if runPerfTests(options): failed = True print 'At end Recorded script status is :', failed if len(failedTests) > 0: log('+-' * 32) log('The following tests failed:') log('\n'.join(failedTests)) log('') return failed | 134ce2a6ff32b988db479ade6fcf70a08aac23f5 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/9228/134ce2a6ff32b988db479ade6fcf70a08aac23f5/rt.py | [
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a1,a2,a3 = ai[:3] | pi = RR.pi() | def elliptic_logarithm(self, embedding=None, precision=100, algorithm='pari'): """ Returns the elliptic logarithm of this elliptic curve point. | 4af7cab0ea14839a0f0075ec0490074db7cd7fb4 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/9417/4af7cab0ea14839a0f0075ec0490074db7cd7fb4/ell_point.py | [
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self._stop = False | self._stop_server = False | def __init__(self, request_handler): threading.Thread.__init__(self) self._stop = False self.ready = threading.Event() request_handler.protocol_version = "HTTP/1.0" self.httpd = LoopbackHttpServer(('127.0.0.1', 0), request_handler) #print "Serving HTTP on %s port %s" % (self.httpd.server_name, # self.httpd.server_port) self.port = self.httpd.server_port | 4566c71e0ea13acd519b732eda3cf9d70d3a62ca /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/8546/4566c71e0ea13acd519b732eda3cf9d70d3a62ca/test_urllib2_localnet.py | [
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<button name="%s" string="send_email" type="action" icon="gtk-apply" context="{'user_id':%s, 'user_type':'existing', 'share_url': user%s_url}"/> """%(user.id, user.id, user.id, send_email_act_id, user.id, user.id) | <button name="do_send_email" string="Send Email" type="object" icon="gtk-apply" context="{'user_id':%s, 'user_type':'existing', 'share_url': user%s_url, 'share_model': %s, 'share_rec_id': %s }"/> """%(user.id, user.id, user.id, user.id, share_model, share_rec_id) | def fields_view_get(self, cr, uid, view_id=None, view_type='form', context=None, toolbar=False,submenu=False): result = super(share_result, self).fields_view_get(cr, uid, view_id, view_type, context, toolbar,submenu) user_obj = self.pool.get('res.users') data_obj = self.pool.get('ir.model.data') existing_user_ids = context.get('existing_user_ids', []) new_user_ids = context.get('new_user_ids', []) _arch_lst = """<form string="Share Users"> <separator colspan="4" string="Step 4: Share User Details"/> """ _fields = result['fields'] send_email_act = data_obj._get_id(cr, uid, 'base', 'share_email_act') send_email_act_id = data_obj.browse(cr, uid, send_email_act, context=context).res_id | 8166cedceb0edc65ee8718fcb28479e1c65e4a60 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/12853/8166cedceb0edc65ee8718fcb28479e1c65e4a60/wizard_share.py | [
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self.params['PROPERTIES_TAB'] = '<a:tab caption="@@PROPERTIES@@">%s</a:tab>' % sProperties | self.params['PROPERTIES_TAB'] = \ '<a:tab caption="@@PROPERTIES@@">%s</a:tab>' % sProperties | def setParams(self): self.response.setHeader('Cache-Control', 'no-cache') sLang = self.request.getLang() user = self.session.user iUserRole = objectAccess.getAccess(self.item, user) readonly = (iUserRole==1) self.params = { 'ID': self.item.id, 'URI': self.request.serverVariables['SCRIPT_NAME'] + '/' + self.item.id, 'ICON': self.item.__image__, 'NAME': self.item.displayName.value, 'MODIFIED': date.Date(self.item.modified).format(DATES_FORMAT, sLang), 'MODIFIED_BY': self.item.modifiedBy, 'CONTENTCLASS': self.item.contentclass, 'PROPERTIES_TAB': '', 'EXTRA_TABS': '', 'SECURITY_TAB': self.getSecurity(self.item), 'UPDATE_DISABLED': self.getStringFromBoolean(readonly) } # inspect item properties sProperties = '' for attr_name in self.item.__props__: attr = getattr(self.item, attr_name) if isinstance(attr, datatypes.DataType): control, tab = self.getControlFromAttribute(attr_name, attr, readonly) sProperties += control self.params['EXTRA_TABS'] += tab self.params['PROPERTIES_TAB'] = '<a:tab caption="@@PROPERTIES@@">%s</a:tab>' % sProperties | 9a2f8b99a4794ca66a515bfe9ca832718bd20756 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/2504/9a2f8b99a4794ca66a515bfe9ca832718bd20756/ui.py | [
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methodresponse: true to create a methodResponse packet | methodresponse: true to create a methodResponse packet. If this option is used with a tuple, the tuple must be a singleton (i.e. it can contain only one element). | def dumps(params, methodname=None, methodresponse=None, encoding=None): """data [,options] -> marshalled data Convert a tuple or a fault object to an XML-RPC request (or response, if the methodsresponse option is used). In addition to the data object, the following options can be given as keyword arguments: methodname: the method name for a methodCall packet methodresponse: true to create a methodResponse packet encoding: the packet encoding (default is UTF-8) All 8-bit strings in the data structure are assumed to use the packet encoding. Unicode strings are automatically converted, as necessary. """ assert type(params) == TupleType or isinstance(params, Fault),\ "argument must be tuple or Fault instance" if not encoding: encoding = "utf-8" m = Marshaller(encoding) data = m.dumps(params) if encoding != "utf-8": xmlheader = "<?xml version='1.0' encoding=%s?>\n" % repr(encoding) else: xmlheader = "<?xml version='1.0'?>\n" # utf-8 is default # standard XML-RPC wrappings if methodname: # a method call if not isinstance(methodname, StringType): methodname = methodname.encode(encoding) data = ( xmlheader, "<methodCall>\n" "<methodName>", methodname, "</methodName>\n", data, "</methodCall>\n" ) elif methodresponse or isinstance(params, Fault): # a method response data = ( xmlheader, "<methodResponse>\n", data, "</methodResponse>\n" ) else: return data # return as is return string.join(data, "") | cd906440fbd0694e165a09262268a608df82deeb /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/9658/cd906440fbd0694e165a09262268a608df82deeb/xmlrpclib.py | [
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if (f != 'Config') and (f != '.svn'): | if (f != 'Config') and (f != '.git'): | def GetDirs(path, dirs): dirs[path] = [] filelist = os.listdir(path) for f in filelist: fullname = path + f if os.path.isdir(fullname): if (f != 'Config') and (f != '.svn'): fullname = fullname + '/' GetDirs(fullname, dirs) else: dirs[path].append(f) | 2572f59a3503849836aeb2ce3fe3748b9335620c /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/1030/2572f59a3503849836aeb2ce3fe3748b9335620c/make_luaui_nsh.py | [
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patchname = dogitpatch(patchname, gitpatches) | patchname = dogitpatch(patchname, gitpatches, cwd=cwd) | def patch(patchname, ui, strip=1, cwd=None): """apply the patch <patchname> to the working directory. a list of patched files is returned""" (dopatch, gitpatches) = readgitpatch(patchname) files = {} fuzz = False if dopatch: if dopatch == 'filter': patchname = dogitpatch(patchname, gitpatches) patcher = util.find_in_path('gpatch', os.environ.get('PATH', ''), 'patch') args = [] if cwd: args.append('-d %s' % util.shellquote(cwd)) fp = os.popen('%s %s -p%d < %s' % (patcher, ' '.join(args), strip, util.shellquote(patchname))) if dopatch == 'filter': False and os.unlink(patchname) for line in fp: line = line.rstrip() ui.note(line + '\n') if line.startswith('patching file '): pf = util.parse_patch_output(line) printed_file = False files.setdefault(pf, (None, None)) elif line.find('with fuzz') >= 0: fuzz = True if not printed_file: ui.warn(pf + '\n') printed_file = True ui.warn(line + '\n') elif line.find('saving rejects to file') >= 0: ui.warn(line + '\n') elif line.find('FAILED') >= 0: if not printed_file: ui.warn(pf + '\n') printed_file = True ui.warn(line + '\n') code = fp.close() if code: raise util.Abort(_("patch command failed: %s") % util.explain_exit(code)[0]) for gp in gitpatches: files[gp.path] = (gp.op, gp) return (files, fuzz) | 8021fe818edcb3ab3beaca6584497128f740649a /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/11312/8021fe818edcb3ab3beaca6584497128f740649a/patch.py | [
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try: | try: | def edge_coloring(g, value_only=False, vizing=False, hex_colors=False, log=0): r""" Properly colors the edges of a graph. See the URL http://en.wikipedia.org/wiki/Edge_coloring for further details on edge coloring. INPUT: - ``g`` -- a graph. - ``value_only`` -- (default: ``False``): - When set to ``True``, only the chromatic index is returned. - When set to ``False``, a partition of the edge set into matchings is returned if possible. - ``vizing`` -- (default: ``False``): - When set to ``True``, tries to find a `\Delta + 1`-edge-coloring, where `\Delta` is equal to the maximum degree in the graph. - When set to ``False``, tries to find a `\Delta`-edge-coloring, where `\Delta` is equal to the maximum degree in the graph. If impossible, tries to find and returns a `\Delta + 1`-edge-coloring. This implies that ``value_only=False``. - ``hex_colors`` -- (default: ``False``) when set to ``True``, the partition returned is a dictionary whose keys are colors and whose values are the color classes (ideal for plotting). - ``log`` -- (default: ``0``) as edge-coloring is an `NP`-complete problem, this function may take some time depending on the graph. Use ``log`` to define the level of verbosity you wantfrom the linear program solver. By default ``log=0``, meaning that there will be no message printed by the solver. OUTPUT: In the following, `\Delta` is equal to the maximum degree in the graph ``g``. - If ``vizing=True`` and ``value_only=False``, return a partition of the edge set into `\Delta + 1` matchings. - If ``vizing=False`` and ``value_only=True``, return the chromatic index. - If ``vizing=False`` and ``value_only=False``, return a partition of the edge set into the minimum number of matchings. - If ``vizing=True`` and ``value_only=True``, should return something, but mainly you are just trying to compute the maximum degree of the graph, and this is not the easiest way. By Vizing's theorem, a graph has a chromatic index equal to `\Delta` or to `\Delta + 1`. EXAMPLE:: sage: from sage.graphs.graph_coloring import edge_coloring sage: g = graphs.PetersenGraph() sage: edge_coloring(g, value_only=True) # optional - requires GLPK or CBC 4 Complete graphs are colored using the linear-time round-robin coloring:: sage: from sage.graphs.graph_coloring import edge_coloring sage: len(edge_coloring(graphs.CompleteGraph(20))) 19 """ from sage.numerical.mip import MixedIntegerLinearProgram from sage.plot.colors import rainbow if g.is_clique(): if value_only: return g.order() if g.order() % 2 == 0 else g.order() + 1 vertices = g.vertices() r = round_robin(g.order()) classes = [[] for v in g] if g.order() % 2 == 0 and not vizing: classes.pop() for (u, v, c) in r.edge_iterator(): classes[c].append((vertices[u], vertices[v])) if hex_colors: return zip(rainbow(len(classes)), classes) else: return classes p = MixedIntegerLinearProgram(maximization=True) color = p.new_variable(dim=2) obj = {} k = max(g.degree()) # reorders the edge if necessary... R = lambda x: x if (x[0] <= x[1]) else (x[1], x[0], x[2]) # Vizing's coloring uses Delta + 1 colors if vizing: value_only = False k += 1 # A vertex can not have two incident edges with the same color. [p.add_constraint( sum([color[R(e)][i] for e in g.edges_incident(v)]), max=1) for v in g.vertex_iterator() for i in xrange(k)] # an edge must have a color [p.add_constraint(sum([color[R(e)][i] for i in xrange(k)]), max=1, min=1) for e in g.edge_iterator()] # anything is good as an objective value as long as it is satisfiable e = g.edge_iterator().next() p.set_objective(color[R(e)][0]) p.set_binary(color) try: if value_only: p.solve(objective_only=True, log=log) else: chi = p.solve(log=log) except: if value_only: return k + 1 else: # if the coloring with Delta colors fails, tries Delta + 1 return edge_coloring(g, vizing=True, hex_colors=hex_colors, log=log) if value_only: return k # Builds the color classes color = p.get_values(color) classes = [[] for i in xrange(k)] [classes[i].append(e) for e in g.edge_iterator() for i in xrange(k) if color[R(e)][i] == 1] # if needed, builds a dictionary from the color classes adding colors if hex_colors: return dict(zip(rainbow(len(classes)), classes)) else: return classes | a468d77074137cba0ddfb241121c56cde855518e /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/9890/a468d77074137cba0ddfb241121c56cde855518e/graph_coloring.py | [
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preferences = self.model.get_value(selection, 5) if preferences: self.prefs_button.set_sensitive(True) else: self.prefs_button.set_sensitive(False) descr_text = self.model.get_value(selection, 2) | if selection: preferences = self.model.get_value(selection, 5) if preferences: self.prefs_button.set_sensitive(True) else: self.prefs_button.set_sensitive(False) descr_text = self.model.get_value(selection, 2) | def OnSelect(self, tree): """ When an Extension is selected, enables/disables the preferences button according to the reported Extension capabilities and updates the description label. Parameters: tree -- GTKTreeView holding the Extensions's representation. """ selection = self.tree.get_selection().get_selected()[1] preferences = self.model.get_value(selection, 5) if preferences: self.prefs_button.set_sensitive(True) else: self.prefs_button.set_sensitive(False) descr_text = self.model.get_value(selection, 2) self.description.set_text(descr_text) | 4c51c6f56b0c2da9477f7d84605d4f52760567c3 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/10033/4c51c6f56b0c2da9477f7d84605d4f52760567c3/ExtensionManagerDialog.py | [
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if True: import pydb pydb.debugger() | def runUnusedClasses(self, parts, packages, variants): if not self._config.get("log/classes-unused", False): return | 47977568036ebc88899e0c6ce932c66f12bc746a /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/5718/47977568036ebc88899e0c6ce932c66f12bc746a/Generator.py | [
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sage: n = 100000000 + randint(0,100000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 100000000 + randint(0,100000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 | sage: n = 1000000000 + randint(0,1000000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 | def number_of_partitions(n,k=None, algorithm='default'): r""" Returns the size of partitions_list(n,k). INPUT: n -- an integer k -- (default: None); if specified, instead returns the cardinality of the set of all (unordered) partitions of the positive integer n into sums with k summands. algorithm -- (default: 'default') 'default' -- if k is given use Gap. Otherwise, on x86 when n > 3000, use 'bober' On non x86 use 'pari'. 'bober' -- use Jonathon Bober's implementation 'gap' -- use GAP (VERY *slow*) 'pari' -- use PARI. Speed seems the same as GAP until $n$ is in the thousands, in which case PARI is faster. *But* PARI has a bug, e.g., on 64-bit Linux PARI-2.3.2 outputs numbpart(147007)%1000 as 536, but it should be 533!. So do not use this option. IMPLEMENTATION: Wraps GAP's NrPartitions or PARI's numbpart function. Use the function \code{partitions(n)} to return a generator over all partitions of $n$. It is possible to associate with every partition of the integer n a conjugacy class of permutations in the symmetric group on n points and vice versa. Therefore p(n) = NrPartitions(n) is the number of conjugacy classes of the symmetric group on n points. EXAMPLES: sage: v = list(partitions(5)); v [(1, 1, 1, 1, 1), (1, 1, 1, 2), (1, 2, 2), (1, 1, 3), (2, 3), (1, 4), (5,)] sage: len(v) 7 sage: number_of_partitions(5, algorithm='gap') 7 sage: number_of_partitions(5, algorithm='pari') 7 sage: number_of_partitions(5, algorithm='bober') 7 The input must be a nonnegative integer or a ValueError is raised. sage: number_of_partitions(-5) Traceback (most recent call last): ... ValueError: n (=-5) must be a nonnegative integer sage: number_of_partitions(10,2) 5 sage: number_of_partitions(10) 42 sage: number_of_partitions(3) 3 sage: number_of_partitions(10) 42 sage: number_of_partitions(3, algorithm='pari') 3 sage: number_of_partitions(10, algorithm='pari') 42 sage: number_of_partitions(40) 37338 sage: number_of_partitions(100) 190569292 sage: number_of_partitions(100000) 27493510569775696512677516320986352688173429315980054758203125984302147328114964173055050741660736621590157844774296248940493063070200461792764493033510116079342457190155718943509725312466108452006369558934464248716828789832182345009262853831404597021307130674510624419227311238999702284408609370935531629697851569569892196108480158600569421098519 A generating function for p(n) is given by the reciprocal of Euler's function: \[ \sum_{n=0}^\infty p(n)x^n = \prod_{k=1}^\infty \left(\frac {1}{1-x^k} \right). \] We use SAGE to verify that the first several coefficients do instead agree: sage: q = PowerSeriesRing(QQ, 'q', default_prec=9).gen() sage: prod([(1-q^k)^(-1) for k in range(1,9)]) ## partial product of 1 + q + 2*q^2 + 3*q^3 + 5*q^4 + 7*q^5 + 11*q^6 + 15*q^7 + 22*q^8 + O(q^9) sage: [number_of_partitions(k) for k in range(2,10)] [2, 3, 5, 7, 11, 15, 22, 30] REFERENCES: http://en.wikipedia.org/wiki/Partition_%28number_theory%29 TESTS: sage: n = 500 + randint(0,500) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1500 + randint(0,1500) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 1000000 + randint(0,1000000) sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 100000000 + randint(0,100000000) # takes a long time sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 100000000 + randint(0,100000000) # takes a long time sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True sage: n = 100000000 + randint(0,100000000) # takes a long time sage: number_of_partitions( n - (n % 385) + 369) % 385 == 0 True Another consistency test for n up to 500: sage: len([n for n in [1..500] if number_of_partitions(n) != number_of_partitions(n,algorithm='pari')]) 0 """ n = ZZ(n) if n < 0: raise ValueError, "n (=%s) must be a nonnegative integer"%n elif n == 0: return ZZ(1) global first_warning PROCESSOR = os.uname()[-1] bober_is_good = 'x86' in PROCESSOR if k is not None: algorithm = 'gap' elif algorithm == 'default': if bober_is_good: algorithm = 'bober' elif PROCESSOR in ['x86', 'Power Macintosh']: algorithm = 'pari' else: algorithm = 'gap' if algorithm == 'gap': if k is None: ans=gap.eval("NrPartitions(%s)"%(ZZ(n))) else: ans=gap.eval("NrPartitions(%s,%s)"%(ZZ(n),ZZ(k))) return ZZ(ans) if k is not None: raise ValueError, "only the GAP algorithm works if k is specified." if algorithm == 'bober': if not bober_is_good: if first_warning: print "*WARNING*: bober's implementation is broken on this platform or this size of n." first_warning=False return partitions_ext.number_of_partitions(n) elif algorithm == 'pari': if n > 3000 and 'x86_64' in PROCESSOR: if first_warning: print "*WARNING*: Pari's numbpart is very buggy on x86_64 (fixed in svn, so don't report to pari-dev)" first_warning = False return ZZ(pari(ZZ(n)).numbpart()) raise ValueError, "unknown algorithm '%s'"%algorithm | 133ed5d488fcc631795027cd415e935f304eaad7 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/9890/133ed5d488fcc631795027cd415e935f304eaad7/combinat.py | [
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elif opt in ('-?', '--help'): | elif opt in ('-v', '--verbose'): verbosity += 1 elif opt in ('-?', '-h', '--help'): | def main(): output=None copyfunc=None creator=None plist=None nib=None resources=[] SHORTOPTS = "o:ln:r:p:c:?" LONGOPTS=("output=", "link", "nib=", "resource=", "plist=", "creator=", "help") try: options, args = getopt.getopt(sys.argv[1:], SHORTOPTS, LONGOPTS) except getopt.error: usage() if len(args) != 1: usage() for opt, arg in options: if opt in ('-o', '--output'): output = arg elif opt in ('-l', '--link'): copyfunc = os.symlink elif opt in ('-n', '--nib'): nib = arg elif opt in ('-r', '--resource'): resources.append(arg) elif opt in ('-c', '--creator'): creator = arg elif opt in ('-p', '--plist'): plist = arg elif opt in ('-?', '--help'): usage() buildappbundle(args[0], output=output, copyfunc=copyfunc, creator=creator, plist=plist, resources=resources) | e9d33f103e82fa58ed5906c6ccf3ccd9d68cdd17 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/12029/e9d33f103e82fa58ed5906c6ccf3ccd9d68cdd17/buildappbundle.py | [
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previous_reboots = glob.glob('reboot*') if previous_reboots: previous_reboots = [int(i[len('reboot'):]) for i in previous_reboots] boot = 1 + max(previous_reboots) else: boot = 1 | def before_each_step(): # make separate directories for each step: # if files exist here, this is not the first step. # this is a safe assumption because we always create at least one file if not glob.glob('*'): _before_each_step() # first step goes in cwd return previous_reboots = glob.glob('reboot*') if previous_reboots: previous_reboots = [int(i[len('reboot'):]) for i in previous_reboots] boot = 1 + max(previous_reboots) else: boot = 1 os.mkdir('reboot%d' % boot) pwd = os.getcwd() try: os.chdir('reboot%d' % boot) _before_each_step() finally: os.chdir(pwd) | 244132028450511fd19cc5ed4c9d1eeab0e56992 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/12268/244132028450511fd19cc5ed4c9d1eeab0e56992/sysinfo.py | [
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if api.getFocusObject().role not in (controlTypes.ROLE_MENUITEM,controlTypes.ROLE_POPUPMENU): | focusObject=api.getFocusObject() if focusObject.role not in (controlTypes.ROLE_MENUITEM,controlTypes.ROLE_POPUPMENU) or focusObject!=oldFocus: | def event_menuEnd(self): if self.IAccessibleRole in (IAccessibleHandler.ROLE_SYSTEM_MENUITEM,IAccessibleHandler.ROLE_SYSTEM_MENUPOPUP) and self!=api.getFocusObject(): return api.processPendingEvents() if api.getFocusObject().role not in (controlTypes.ROLE_MENUITEM,controlTypes.ROLE_POPUPMENU): return obj=api.findObjectWithFocus() IAccessibleHandler.focus_manageEvent(obj) | 52862ebaa31e41489dc75de534938dfe9e5e6097 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/9340/52862ebaa31e41489dc75de534938dfe9e5e6097/__init__.py | [
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return False | def InstallService(self, entry): '''Install Service for entry''' self.CondPrint('verbose', "Installing Service %s" % (entry.get('name'))) if entry.attrib['status'] == 'off': if self.setup['dryrun']: print "Disabling service %s" % (entry.get('name')) return False else: cmdrc = system("update-rc.d -f %s remove" % entry.get('name')) else: if self.setup['dryrun']: print "Enabling service %s" % (entry.attrib['name']) return False else: cmdrc = system("update-rc.d %s defaults" % (entry.attrib['name'])) if cmdrc: return False return True | 97f27837c96643ff5a16a35c1871a884eee89d93 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/11867/97f27837c96643ff5a16a35c1871a884eee89d93/Debian.py | [
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global buildscriptFile | global buildscriptFile, fromAddr, mailtoAddr, alertAddr, adminAddr, defaultDomain, defaultRsyncServer | def main(): global buildscriptFile parser = OptionParser(usage="%prog [options] buildName", version="%prog 1.2") parser.add_option("-t", "--toAddr", action="store", type="string", dest="toAddr", default="buildreport", help="Where to mail script reports\n" " [default] buildreport " + "(at) osafoundation " + "(dot) org") parser.add_option("-p", "--project", action="store", type="string", dest="project", default="chandler", help="Name of script to use (without .py extension)\n" "[default] chandler") parser.add_option("-o", "--output", action="store", type="string", dest="outputDir", default=os.path.join(os.environ['HOME'],"output"), help="Name of temp output directory\n" " [default] ~/output") parser.add_option("-a", "--alert", action="store", type="string", dest="alertAddr", default="buildman", help="E-mail to notify on build errors \n" " [default] buildman " + "(at) osafoundation " + "(dot) org") (options, args) = parser.parse_args() if len(args) != 1: parser.print_help() parser.error("You must at least provide a name for your build") buildName = args[0] fromAddr += "@" + defaultDomain prevStartInt = 0 curDir = os.path.abspath(os.getcwd()) buildscriptFile = os.path.join("buildscripts", options.project + ".py") outputDir = os.path.abspath(options.outputDir) if not os.path.exists(outputDir): os.mkdir(outputDir) if not os.path.exists(buildDir): os.mkdir(buildDir) path = os.environ.get('PATH', os.environ.get('path')) cvsProgram = hardhatutil.findInPath(path, "cvs") print "cvs =", cvsProgram rsyncProgram = hardhatutil.findInPath(path, "rsync") print "rsync =", rsyncProgram clobber = go = 1 if os.path.exists(stopFile): os.remove(stopFile) startInt = int(time.time()) startTime = str(startInt) os.chdir(curDir) nowString = time.strftime("%Y-%m-%d %H:%M:%S") buildVersion = hardhatutil.RemovePunctuation(nowString) print "Starting:", nowString, buildVersion log = open(logFile, "w") log.write("Start: " + nowString + "\n") try: # load (or reload) the buildscript file for the project mod = hardhatutil.ModuleFromFile(buildscriptFile, "buildscript") treeName = mod.treeName SendMail(fromAddr, options.toAddr, startTime, buildName, "building", treeName, None) ret = mod.Start(hardhatFile, buildDir, "-D'"+ nowString + "'", buildVersion, clobber, log) except TinderbuildError, e: print e print "Tinderbuild: Build failed" log.write("Tinderbuild: Build failed\n") status = "build_failed" log.close() log = open(logFile, "r") logContents = log.read() log.close() SendMail(fromAddr, options.alertAddr, startTime, buildName, "The build failed", treeName, logContents) log = open(logFile, "w") except Exception, e: print e print "Build failed" log.write("Build failed\n") status = "build_failed" log.close() log = open(logFile, "r") logContents = log.read() log.close() SendMail(fromAddr, options.alertAddr, startTime, buildName, "The build failed", treeName, logContents) log = open(logFile, "w") else: if ret == "success-nochanges": print "There were no changes, and the tests were successful" log.write("There were no changes, and the tests were successful\n") status = "success" elif ret == "success-changes": print "There were changes, and the tests were successful" log.write("There were changes, and the tests were successful\n") status = "success" newDir = os.path.join(outputDir, buildVersion) print "Renaming " + os.path.join(buildDir, "output", buildVersion) + " to " + newDir log.write("Renaming " + os.path.join(buildDir, "output", buildVersion) + " to " + newDir + "\n") os.rename(os.path.join(buildDir, "output", buildVersion), newDir) if os.path.exists(outputDir+os.sep+"index.html"): os.remove(outputDir+os.sep+"index.html") if os.path.exists(outputDir+os.sep+"time.js"): os.remove(outputDir+os.sep+"time.js") print "Calling RotateDirectories" log.write("Calling RotateDirectories\n") RotateDirectories(outputDir) print "Calling CreateIndex with " + newDir log.write("Calling CreateIndex with " + newDir + "\n") CreateIndex(outputDir, buildVersion, nowString, buildName) buildNameNoSpaces = buildName.replace(" ", "") print "Rsyncing..." outputList = hardhatutil.executeCommandReturnOutputRetry( [rsyncProgram, "-e", "ssh", "-avzp", "--delete", outputDir + os.sep, "192.168.101.46:continuous/" + buildNameNoSpaces]) hardhatutil.dumpOutputList(outputList, log) elif ret == "build_failed": print "The build failed" log.write("The build failed\n") status = "build_failed" log.close() log = open(logFile, "r") logContents = log.read() log.close() SendMail(fromAddr, options.alertAddr, startTime, buildName, "The build failed", treeName, logContents) log = open(logFile, "w") elif ret == "test_failed": print "Unit tests failed" log.write("Unit tests failed\n") status = "test_failed" log.close() log = open(logFile, "r") logContents = log.read() log.close() SendMail(fromAddr, options.alertAddr, startTime, buildName, "Unit tests failed", treeName, logContents) log = open(logFile, "w") else: print "There were no changes" log.write("There were no changes in CVS\n") status = "not_running" log.write( "End = " + time.strftime("%Y-%m-%d %H:%M:%S") + "\n") log.close() log = open(logFile, "r") logContents = log.read() log.close() nowTime = str(int(time.time())) SendMail(fromAddr, options.toAddr, startTime, buildName, status, treeName, logContents) | b2c0c7996e95b491076026bd941d2c86fa18eb53 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/9228/b2c0c7996e95b491076026bd941d2c86fa18eb53/tinderbox.py | [
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self.setinput(NORMS.get(v_norm)) | self.setstd(NORMS.get(v_norm)) | def init_settings(self): (v_norm, v_input, v_clist, v_dev) = config.TV_SETTINGS.split() v_norm = string.upper(v_norm) self.setinput(NORMS.get(v_norm)) | 96ae91396918a113e34228b3ff34f7815582f111 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/11399/96ae91396918a113e34228b3ff34f7815582f111/v4l2.py | [
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The given dictionary is never altered by this keyword. | Values are returned sorted according to keys. The given dictionary is never altered by this keyword. | def get_dictionary_values(self, dictionary): """Returns values of the given dictionary. The given dictionary is never altered by this keyword. | 9e3b0b6f2f5e1229f613f2fc11d15a4072f9d6db /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/6988/9e3b0b6f2f5e1229f613f2fc11d15a4072f9d6db/Collections.py | [
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<img width=16 height=16 src="webplugin/icon_cancel_search.png" alt="Clear search results"> | <img width=16 height=16 src="/webplugin/icon_cancel_search.png" alt="Clear search results"> | def update_features_avail(feature_key, name, col, fsize, fcolor, prefix, suffix): text_features_avail.setdefault(feature_key, [name, 0, col, fsize, fcolor, prefix, suffix]) text_features_avail[feature_key][1] += 1 | 7247d86e6c22753799dc0dd61d252e56bac872a4 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/14016/7247d86e6c22753799dc0dd61d252e56bac872a4/webplugin_example.py | [
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if not mod: | if not mod and hasattr(env, 'autodoc_current_module'): | def generate_rst(what, name, members, undoc, add_content, document, lineno, indent=''): env = document.settings.env # find out what to import if what == 'module': mod = obj = name objpath = [] elif what in ('class', 'exception', 'function'): mod, obj = rpartition(name, '.') if not mod: mod = env.autodoc_current_module if not mod: mod = env.currmodule objpath = [obj] else: mod_cls, obj = rpartition(name, '.') if not mod_cls: mod_cls = env.autodoc_current_class if not mod_cls: mod_cls = env.currclass mod, cls = rpartition(mod_cls, '.') if not mod: mod = env.autodoc_current_module if not mod: mod = env.currmodule objpath = [cls, obj] result = ViewList() try: todoc = module = __import__(mod, None, None, ['foo']) for part in objpath: todoc = getattr(todoc, part) if hasattr(todoc, '__module__'): if todoc.__module__ != mod: return [], result docstring = todoc.__doc__ except (ImportError, AttributeError): warning = document.reporter.warning( 'autodoc can\'t import/find %s %r, check your spelling ' 'and sys.path' % (what, str(name)), line=lineno) return [warning], result # add directive header try: if what == 'class': args = inspect.formatargspec(*inspect.getargspec(todoc.__init__)) elif what in ('function', 'method'): args = inspect.formatargspec(*inspect.getargspec(todoc)) if what == 'method': if args[1:7] == 'self, ': args = '(' + args[7:] elif args == '(self)': args = '()' else: args = '' except: args = '' if len(objpath) == 2: qualname = '%s.%s' % (cls, obj) else: qualname = obj result.append(indent + '.. %s:: %s%s' % (what, qualname, args), '<autodoc>') result.append('', '<autodoc>') # the module directive doesn't like content if what != 'module': indent += ' ' # add docstring content if what == 'module' and env.config.automodule_skip_lines: docstring = '\n'.join(docstring.splitlines() [env.config.automodule_skip_lines:]) docstring = prepare_docstring(docstring) for i, line in enumerate(docstring): result.append(indent + line, '<docstring of %s>' % name, i) # add source content, if present if add_content: for line, src in zip(add_content.data, add_content.items): result.append(indent + line, src[0], src[1]) if not members or what in ('function', 'method', 'attribute'): return [], result env.autodoc_current_module = mod if objpath: env.autodoc_current_class = objpath[0] warnings = [] # add members, if possible _all = members == ['__all__'] if _all: all_members = sorted(inspect.getmembers(todoc)) else: all_members = [(mname, getattr(todoc, mname)) for mname in members] for (membername, member) in all_members: if _all and membername.startswith('_'): continue doc = getattr(member, '__doc__', None) if not undoc and not doc: continue if what == 'module': if isinstance(member, types.FunctionType): memberwhat = 'function' elif isinstance(member, types.ClassType) or \ isinstance(member, type): if issubclass(member, base_exception): memberwhat = 'exception' else: memberwhat = 'class' else: # XXX: todo -- attribute docs continue else: if callable(member): memberwhat = 'method' elif isinstance(member, property): memberwhat = 'attribute' else: # XXX: todo -- attribute docs continue full_membername = name + '.' + membername subwarn, subres = generate_rst(memberwhat, full_membername, ['__all__'], undoc, None, document, lineno, indent) warnings.extend(subwarn) result.extend(subres) env.autodoc_current_module = None env.autodoc_current_class = None return warnings, result | d739756f2a1551291f77000c21e3e2788a757319 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/5532/d739756f2a1551291f77000c21e3e2788a757319/autodoc.py | [
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""" print >> fp, hostname, '\tIGNORE' print >> fp, ' print >> fp, '%s: %s' % (loopaddr, mailbox) print >> fp db[hostname + '\0'] = 'IGNORE\0' db[loopaddr + '\0'] = loopaddr + '\0' | %s\t%s """ % (loopaddr, loopdest) db[loopaddr + '\0'] = loopdest + '\0' | def addvirtual(mlist, db, fp): listname = mlist.internal_name() fieldsz = len(listname) + len('request') hostname = mlist.host_name loopaddr = Utils.get_site_email(mlist.host_name, 'loop') mailbox, domain = Utils.ParseEmail(loopaddr) # Seek to the end of the text file, but if it's empty write the standard # disclaimer, and the loop catch address. fp.seek(0, 2) if not fp.tell(): print >> fp, """\ | fdea0f4d4aafc034bf532b1250b6ea19c3d2c875 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/2120/fdea0f4d4aafc034bf532b1250b6ea19c3d2c875/Postfix.py | [
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if e.args[0] not in (EBADF, ECONNRESET, ENOTCONN, ESHUTDOWN, ECONNABORTED): | if e.args[0] not in (EBADF, ECONNRESET, ENOTCONN, ESHUTDOWN, ECONNABORTED): | def readwrite(obj, flags): try: if flags & select.POLLIN: obj.handle_read_event() if flags & select.POLLOUT: obj.handle_write_event() if flags & select.POLLPRI: obj.handle_expt_event() if flags & (select.POLLHUP | select.POLLERR | select.POLLNVAL): obj.handle_close() except socket.error, e: if e.args[0] not in (EBADF, ECONNRESET, ENOTCONN, ESHUTDOWN, | abc781a962aa492251f207efcc0f000124eb5aef /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/8125/abc781a962aa492251f207efcc0f000124eb5aef/asyncore.py | [
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import win32_cypto self.crypt_handler = win32_cypto | import win32_crypto self.crypt_handler = win32_crypto | def __init__(self): super(Win32CryptoKeyring,self).__init__() | b230b1f706f036bec6b49665a469441f2d4c8f54 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/5209/b230b1f706f036bec6b49665a469441f2d4c8f54/backend.py | [
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signal.setitimer(self.itimer, 0.2) | signal.setitimer(self.itimer, 0.2, 0.2) | def test_itimer_prof(self): self.itimer = signal.ITIMER_PROF signal.signal(signal.SIGPROF, self.sig_prof) signal.setitimer(self.itimer, 0.2) | 2b860db35c5346c216672f94031ecc800dbebf02 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/8546/2b860db35c5346c216672f94031ecc800dbebf02/test_signal.py | [
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button.unparent() | hbuttonbox.remove(button) | def showMessage (self, messageDialog, vertical=False): if self.messageSock.child: self.messageSock.remove(self.messageSock.child) message, separator, hbuttonbox = messageDialog.child.get_children() if vertical: buttonbox = gtk.VButtonBox() buttonbox.props.layout_style = gtk.BUTTONBOX_SPREAD for button in hbuttonbox.get_children(): button.unparent() buttonbox.add(button) else: hbuttonbox.unparent() buttonbox = hbuttonbox message.unparent() texts = message.get_children()[1] text1, text2 = texts.get_children() texts.set_child_packing(text1, True, False, 0, gtk.PACK_START) texts.set_child_packing(text2, True, False, 0, gtk.PACK_START) texts.set_spacing(0) message.pack_end(buttonbox, False, False) self.messageSock.add(message) self.messageSock.show_all() notebooks["messageArea"].show() | bc72423b70257f4d1622bba1dbfd2d45882bf680 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/5339/bc72423b70257f4d1622bba1dbfd2d45882bf680/gamewidget.py | [
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Return '' if EOF is hit. Block if no data is immediately | Return b'' if EOF is hit. Block if no data is immediately | def read_some(self): """Read at least one byte of cooked data unless EOF is hit. | 4ff2306a48ad184f76d4bd456b4caf600359b831 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/12029/4ff2306a48ad184f76d4bd456b4caf600359b831/telnetlib.py | [
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def _ExpandPath(self, path): """Expands a relative path to an absolute path rooted at either the WebKit LayoutTests directory or the chrome layout tests directories.""" if self._standalone: base_dir = self._base_dir else: base_dir = path_utils.PathFromBase() if path and path.find("LayoutTests") == -1: full_path = os.path.join(base_dir, 'webkit', 'data', 'layout_tests', path) else: full_path = os.path.join(base_dir, 'third_party', 'WebKit', path) full_path = os.path.normpath(full_path) return full_path | def _ExpandTests(self, test_list_path): """Converts the list of tests into an absolute, normalized path and ensures directories end with the path separator.""" path = self._ExpandPath(test_list_path) if self._standalone: # If we can't check the filesystem to see if this is a directory, # we assume that files w/o an extension are directories. This may or # may not end up biting us. if os.path.splitext(path)[1] == '': path = os.path.join(path, '') else: if os.path.isdir(path): path = os.path.join(path, '') # This is kind of slow - O(n*m) - since this is called for all # entries in the test lists. It has not been a performance # issue so far. Maybe we should re-measure the time spent reading # in the test lists? result = [] for test in self._full_test_list: if test.startswith(path): result.append(test) return result | 211a3ffcbe86cd75b6c6053d87df43b574b52ab2 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/9392/211a3ffcbe86cd75b6c6053d87df43b574b52ab2/test_expectations.py | [
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sendtime = float(connobj.recv(10).split()[0]) | sendtime = float(connobj.recv(100).strip().split()[0]) | def handleconnection(ip, port, connobj, ch, mainch): while True: sendtime = float(connobj.recv(10).split()[0]) lag = getruntime() - sendtime if mycontext['maxlag'] < lag: mycontext['maxlag'] = lag | 8a08d7e4395befd31dafe0fe61aaf23545dbdffb /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/7272/8a08d7e4395befd31dafe0fe61aaf23545dbdffb/ut_repytests_testtcpbuffersize.py | [
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aH = (availHeight - H - max(pS,tSB) - tH)*0.99 | aH = (availHeight-H-tHS-hx)*0.99999 | def split(self, availWidth, availHeight): canv = self.canv C = self._content x = i = H = pS = 0 n = len(C) I2W = {} for x in xrange(n): c = C[x] I = c._ptoinfo if I not in I2W.keys(): T = I.trailer Hdr = I.header tW, tH = _listWrapOn(T, availWidth, self.canv) tSB = T[0].getSpaceBefore() I2W[I] = T,tW,tH,tSB else: T,tW,tH,tSB = I2W[I] _, h = c.wrapOn(canv,availWidth,0xfffffff) if x: h += max(c.getSpaceBefore()-pS,0) pS = c.getSpaceAfter() H += h+pS if H+tH+max(tSB,pS)>=availHeight-_FUZZ: break i += 1 | 5ff6a5fdbd2ac83da8c2921d82a3bd22bd2e6039 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/3878/5ff6a5fdbd2ac83da8c2921d82a3bd22bd2e6039/flowables.py | [
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(newModule.__class__.__name__, e) | (new_instance.__class__.__name__, e) | def _reload_module(self, module_instance, glyph): """Reload a module by storing all configuration information, deleting the module, and then recreating and reconnecting it. | 9fb3c4b7c35895fdc6dfa58b93ab9b27b60f8410 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/4494/9fb3c4b7c35895fdc6dfa58b93ab9b27b60f8410/graphEditor.py | [
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sys.stderr.write("rhandler setup\n") | def setup(self): """ We need to use socket._fileobject Because SSL.Connection doesn't have a 'dup'. Not exactly sure WHY this is, but this is backed up by comments in socket.py and SSL/connection.c """ | b1b23473908f460d8f8c5eb0723232ca502a9876 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/7397/b1b23473908f460d8f8c5eb0723232ca502a9876/SecureXMLRPCServer.py | [
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length = ZZ(len(S)).exact_log(2) if length != int(length): TypeError, "lookup table length is not a power of 2." self.m = int(length) | self.m = ZZ(len(S)).exact_log(2) | def __init__(self, *args, **kwargs): """ Construct a substitution box (S-box) for a given lookup table `S`. | 3495ceab0e02c75313a92b9ead9001643cee42f5 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/9890/3495ceab0e02c75313a92b9ead9001643cee42f5/sbox.py | [
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company_id=move.company_id.id context['currency_id']=move.company_id.currency_id.id pricetype=self.pool.get('product.price.type').browse(cr,uid,move.company_id.property_valuation_price_type.id) amount_unit=move.product_id.price_get(pricetype.field, context)[move.product_id.id] amount=amount_unit * q or 1.0 | company_id = move.company_id.id context['currency_id'] = move.company_id.currency_id.id pricetype = price_type_obj.browse(cr,uid,move.company_id.property_valuation_price_type.id) amount_unit = move.product_id.price_get(pricetype.field, context)[move.product_id.id] amount = amount_unit * q or 1.0 | def action_done(self, cr, uid, ids, context=None): track_flag = False picking_ids = [] for move in self.browse(cr, uid, ids): if move.picking_id: picking_ids.append(move.picking_id.id) if move.move_dest_id.id and (move.state != 'done'): cr.execute('insert into stock_move_history_ids (parent_id,child_id) values (%s,%s)', (move.id, move.move_dest_id.id)) if move.move_dest_id.state in ('waiting', 'confirmed'): self.write(cr, uid, [move.move_dest_id.id], {'state': 'assigned'}) if move.move_dest_id.picking_id: wf_service = netsvc.LocalService("workflow") wf_service.trg_write(uid, 'stock.picking', move.move_dest_id.picking_id.id, cr) else: pass # self.action_done(cr, uid, [move.move_dest_id.id]) if move.move_dest_id.auto_validate: self.action_done(cr, uid, [move.move_dest_id.id], context=context) | 236e0e35d74af3f7e0b707748e0f165c4c1c7baf /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/7397/236e0e35d74af3f7e0b707748e0f165c4c1c7baf/stock.py | [
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return 0 | return False | def _dispose(self, mlist, msg, msgdata): # Make sure we have the most up-to-date state mlist.Load() try: pid = os.getpid() self._func(mlist, msg, msgdata) # Failsafe -- a child may have leaked through. if pid <> os.getpid(): syslog('error', 'child process leaked thru: %s', modname) os._exit(1) self.__logged = 0 except socket.error: # There was a problem connecting to the SMTP server. Log this # once, but crank up our sleep time so we don't fill the error # log. port = mm_cfg.SMTPPORT if port == 0: port = 'smtp' # Log this just once. if not self.__logged: syslog('error', 'Cannot connect to SMTP server %s on port %s', mm_cfg.SMTPHOST, port) self.__logged = 1 return 1 except Errors.SomeRecipientsFailed, e: # The delivery module being used (SMTPDirect or Sendmail) failed # to deliver the message to one or all of the recipients. # Permanent failures should be registered (but registration # requires the list lock), and temporary failures should be # retried later. # # For permanent failures, make a copy of the message for bounce # handling. I'm not sure this is necessary, or the right thing to # do. pcnt = len(e.permfailures) copy = email.message_from_string(str(msg)) self._permfailures.setdefault(mlist, []).extend( zip(e.permfailures, [copy] * pcnt)) # Temporary failures if not e.tempfailures: # Don't need to keep the message queued if there were only # permanent failures. return 0 now = time.time() recips = e.tempfailures last_recip_count = msgdata.get('last_recip_count', 0) deliver_until = msgdata.get('deliver_until', now) if len(recips) == last_recip_count: # We didn't make any progress, so don't attempt delivery any # longer. BAW: is this the best disposition? if now > deliver_until: return 0 else: # Keep trying to delivery this for 3 days deliver_until = now + mm_cfg.DELIVERY_RETRY_PERIOD msgdata['last_recip_count'] = len(recips) msgdata['deliver_until'] = deliver_until msgdata['recips'] = recips # Requeue return 1 # We've successfully completed handling of this message return 0 | e28b5bfa9c4fd0244c5f9967160e37de6d1b4d85 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/2120/e28b5bfa9c4fd0244c5f9967160e37de6d1b4d85/OutgoingRunner.py | [
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return http.Response(stream=template('login.html', **template_dict)) | return HTMLResponse(stream=template('login.html', **template_dict)) | def errors_found(): for key, value in filled_in.iteritems(): template_dict[key] = value minus = 1 if 'email' in template_dict else 0 size = len(template_dict) - minus count = 0 boxes = [] if size == 1: return ('',) for i in template_dict: if '_' in i: count += 1 plural = True if count > 1 else False template_dict['error'] = 'Es ' if plural else 'E ' | 2c1a5997a8830efcfb475993e5f1efb45ed121ea /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/9890/2c1a5997a8830efcfb475993e5f1efb45ed121ea/twist.py | [
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if self.request.get('lang', False): | if self.request.form.get('lang', False): | def getPreferredLanguages(self): | 03248eadc035742375ff98de1a853d1bfd727b0e /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/8420/03248eadc035742375ff98de1a853d1bfd727b0e/i18n.py | [
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Display = TreeDisplayModel() | display = TreeDisplayModel() | def create_operations_box(self): """Create and return the operations box (which holds a tree view)""" scrolled_window = gtk.ScrolledWindow() scrolled_window.set_policy(gtk.POLICY_NEVER, gtk.POLICY_AUTOMATIC) self.tree_store = TreeInfoModel() Display = TreeDisplayModel() mdl = self.tree_store.get_model() self.view = Display.make_view(mdl) self.view.get_selection().connect("changed", self.on_selection_changed) scrolled_window.add_with_viewport(self.view) return scrolled_window | 9d492cae068d04dccea7b824cceed2984729452a /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/7853/9d492cae068d04dccea7b824cceed2984729452a/GUI.py | [
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return _ldap_call(self._l.modrdn,dn,newrdn,delold) | return self._ldap_call(self._l.modrdn,dn,newrdn,delold) | def modrdn(self,dn,newrdn,delold=1): return _ldap_call(self._l.modrdn,dn,newrdn,delold) | 140b2770ed9a36efdac97d90834cdd76cd0d786b /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/4610/140b2770ed9a36efdac97d90834cdd76cd0d786b/ldapthreadlock.py | [
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return sb.ndarray.__setattr__(self,attr,val) | return object.__setattr__(self,attr,val) | def __setattr__(self, attr, val): fielddict = sb.ndarray.__getattribute__(self,'dtype').fields try: res = fielddict[attr][:2] except: return sb.ndarray.__setattr__(self,attr,val) return self.setfield(val,*res) | 34b811398d0a7ef3583a0539b1b61b343e55d237 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/14925/34b811398d0a7ef3583a0539b1b61b343e55d237/records.py | [
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self.check = Checkbutton(self, text=label, variable=self.variable) self.check.pack(side=LEFT) | self.check = tk.Checkbutton(self, text=label, variable=self.variable) self.check.pack(side=tk.LEFT) | def __init__(self, master=None, label="Debug", default=False, *args, **kwargs): """Create a Flag widget with the given label and default value. | f057996c3a6de2d5fabf3ad7997bbd1f796a9e23 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/4675/f057996c3a6de2d5fabf3ad7997bbd1f796a9e23/meta.py | [
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Yield tuples of the form (QUERY, package_id, id,). | Yield tuples of the form (QUERY, package_id, id, mimetype, schema, url). | def iter_queries(self, package_ids, id=None, id_alt=None): """ Yield tuples of the form (QUERY, package_id, id,). """ assert _DF or not isinstance(package_ids, basestring) | 342ced6909076a9f201646311ba592017d1d5539 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/11977/342ced6909076a9f201646311ba592017d1d5539/sqlite.py | [
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self.__lock.release() | self._available.release() | def get_cnx(self, timeout=None): start = time.time() self.__lock.acquire() try: while True: if self.__cnxs: cnx = self.__cnxs.pop(0) break elif self.__maxsize and self.__cursize <= self.__maxsize: cnx = PooledConnection(self, self.__cnx_class(**self.__args)) self.__cursize += 1 break else: if timeout: self.__available.wait(timeout) if (time.time() - start) >= timeout: raise TimeoutError, "Unable to get connection " \ "within %d seconds" % timeout else: self.__available.wait() return cnx finally: self.__lock.release() | 3ae5818256d7afb7361900047341642489d25e5a /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/2831/3ae5818256d7afb7361900047341642489d25e5a/db.py | [
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mant = Q & ((1 << MANT_DIG - 1) - 1) | mant = Q & ((one << MANT_DIG - 1) - 1) | def float_unpack(Q, size): """Convert a 32-bit or 64-bit integer created by float_pack into a Python float.""" if size == 8: MIN_EXP = -1021 # = sys.float_info.min_exp MAX_EXP = 1024 # = sys.float_info.max_exp MANT_DIG = 53 # = sys.float_info.mant_dig BITS = 64 elif size == 4: MIN_EXP = -125 # C's FLT_MIN_EXP MAX_EXP = 128 # FLT_MAX_EXP MANT_DIG = 24 # FLT_MANT_DIG BITS = 32 else: raise ValueError("invalid size value") if not objectmodel.we_are_translated(): # This tests generates wrong code when translated: # with gcc, shifting a 64bit int by 64 bits does # not change the value. if Q >> BITS: raise ValueError("input out of range") # extract pieces one = r_ulonglong(1) sign = rarithmetic.intmask(Q >> BITS - 1) exp = rarithmetic.intmask((Q & ((one << BITS - 1) - (one << MANT_DIG - 1))) >> MANT_DIG - 1) mant = Q & ((1 << MANT_DIG - 1) - 1) if exp == MAX_EXP - MIN_EXP + 2: # nan or infinity result = float('nan') if mant else float('inf') elif exp == 0: # subnormal or zero result = math.ldexp(mant, MIN_EXP - MANT_DIG) else: # normal mant += 1 << MANT_DIG - 1 result = math.ldexp(mant, exp + MIN_EXP - MANT_DIG - 1) return -result if sign else result | 6173039b94d6cc71178fa216f7bd538440d7f2ea /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/6934/6173039b94d6cc71178fa216f7bd538440d7f2ea/ieee.py | [
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return ('Dictionary text must contain one or more white-space ' 'delimited words.') class InvalidSampleTextError(Exception): | return ('The dictionary must be a list of one or more words.') class InvalidSampleError(Exception): | def __str__(self): return ('Dictionary text must contain one or more white-space ' 'delimited words.') | bc9d5a1d58b676e7cc6dcf78f4cef02419954da2 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/3480/bc9d5a1d58b676e7cc6dcf78f4cef02419954da2/lipsum.py | [
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getPackedInputSandbox(f) | getPackedInputSandbox(os.path.join(orig_wdir,f)) | def stopcb(poll=False): global exitcode if poll: exitcode = child.poll() return exitcode != -1 | 050e690cfd567aae5e2aab0afcf5cde625dacb9f /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/1488/050e690cfd567aae5e2aab0afcf5cde625dacb9f/LCG.py | [
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raise errors['unknown'][1], errors['unknown'][0] | raise errors['unknown'][1](errors['unknown'][0]) | def leastsq(func,x0,args=(),Dfun=None,full_output=0,col_deriv=0,ftol=1.49012e-8,xtol=1.49012e-8,gtol=0.0,maxfev=0,epsfcn=0.0,factor=100,diag=None,warning=True): """Minimize the sum of squares of a set of equations. Description: Return the point which minimizes the sum of squares of M (non-linear) equations in N unknowns given a starting estimate, x0, using a modification of the Levenberg-Marquardt algorithm. x = arg min(sum(func(y)**2,axis=0)) y Inputs: func -- A Python function or method which takes at least one (possibly length N vector) argument and returns M floating point numbers. x0 -- The starting estimate for the minimization. args -- Any extra arguments to func are placed in this tuple. Dfun -- A function or method to compute the Jacobian of func with derivatives across the rows. If this is None, the Jacobian will be estimated. full_output -- non-zero to return all optional outputs. col_deriv -- non-zero to specify that the Jacobian function computes derivatives down the columns (faster, because there is no transpose operation). warning -- True to print a warning message when the call is unsuccessful; False to suppress the warning message. Outputs: (x, {cov_x, infodict, mesg}, ier) x -- the solution (or the result of the last iteration for an unsuccessful call. cov_x -- uses the fjac and ipvt optional outputs to construct an estimate of the jacobian around the solution. None if a singular matrix encountered (indicates very flat curvature in some direction). This matrix must be multiplied by the residual standard deviation to get the covariance of the parameter estimates --- see curve_fit. infodict -- a dictionary of optional outputs with the keys: 'nfev' : the number of function calls 'fvec' : the function evaluated at the output 'fjac' : A permutation of the R matrix of a QR factorization of the final approximate Jacobian matrix, stored column wise. Together with ipvt, the covariance of the estimate can be approximated. 'ipvt' : an integer array of length N which defines a permutation matrix, p, such that fjac*p = q*r, where r is upper triangular with diagonal elements of nonincreasing magnitude. Column j of p is column ipvt(j) of the identity matrix. 'qtf' : the vector (transpose(q) * fvec). mesg -- a string message giving information about the cause of failure. ier -- an integer flag. If it is equal to 1, 2, 3 or 4, the solution was found. Otherwise, the solution was not found. In either case, the optional output variable 'mesg' gives more information. Extended Inputs: ftol -- Relative error desired in the sum of squares. xtol -- Relative error desired in the approximate solution. gtol -- Orthogonality desired between the function vector and the columns of the Jacobian. maxfev -- The maximum number of calls to the function. If zero, then 100*(N+1) is the maximum where N is the number of elements in x0. epsfcn -- A suitable step length for the forward-difference approximation of the Jacobian (for Dfun=None). If epsfcn is less than the machine precision, it is assumed that the relative errors in the functions are of the order of the machine precision. factor -- A parameter determining the initial step bound (factor * || diag * x||). Should be in interval (0.1,100). diag -- A sequency of N positive entries that serve as a scale factors for the variables. Remarks: "leastsq" is a wrapper around MINPACK's lmdif and lmder algorithms. See also: scikits.openopt, which offers a unified syntax to call this and other solvers fmin, fmin_powell, fmin_cg, fmin_bfgs, fmin_ncg -- multivariate local optimizers fmin_l_bfgs_b, fmin_tnc, fmin_cobyla -- constrained multivariate optimizers anneal, brute -- global optimizers fminbound, brent, golden, bracket -- local scalar minimizers fsolve -- n-dimensional root-finding brentq, brenth, ridder, bisect, newton -- one-dimensional root-finding fixed_point -- scalar and vector fixed-point finder curve_fit -- find parameters for a curve-fitting problem. """ x0 = array(x0,ndmin=1) n = len(x0) if type(args) != type(()): args = (args,) m = check_func(func,x0,args,n)[0] if Dfun is None: if (maxfev == 0): maxfev = 200*(n+1) retval = _minpack._lmdif(func,x0,args,full_output,ftol,xtol,gtol,maxfev,epsfcn,factor,diag) else: if col_deriv: check_func(Dfun,x0,args,n,(n,m)) else: check_func(Dfun,x0,args,n,(m,n)) if (maxfev == 0): maxfev = 100*(n+1) retval = _minpack._lmder(func,Dfun,x0,args,full_output,col_deriv,ftol,xtol,gtol,maxfev,factor,diag) errors = {0:["Improper input parameters.", TypeError], 1:["Both actual and predicted relative reductions in the sum of squares\n are at most %f" % ftol, None], 2:["The relative error between two consecutive iterates is at most %f" % xtol, None], 3:["Both actual and predicted relative reductions in the sum of squares\n are at most %f and the relative error between two consecutive iterates is at \n most %f" % (ftol,xtol), None], 4:["The cosine of the angle between func(x) and any column of the\n Jacobian is at most %f in absolute value" % gtol, None], 5:["Number of calls to function has reached maxfev = %d." % maxfev, ValueError], 6:["ftol=%f is too small, no further reduction in the sum of squares\n is possible.""" % ftol, ValueError], 7:["xtol=%f is too small, no further improvement in the approximate\n solution is possible." % xtol, ValueError], 8:["gtol=%f is too small, func(x) is orthogonal to the columns of\n the Jacobian to machine precision." % gtol, ValueError], 'unknown':["Unknown error.", TypeError]} info = retval[-1] # The FORTRAN return value if (info not in [1,2,3,4] and not full_output): if info in [5,6,7,8]: if warning: print "Warning: " + errors[info][0] else: try: raise errors[info][1], errors[info][0] except KeyError: raise errors['unknown'][1], errors['unknown'][0] if n == 1: retval = (retval[0][0],) + retval[1:] mesg = errors[info][0] if full_output: from numpy.dual import inv from numpy.linalg import LinAlgError perm = take(eye(n),retval[1]['ipvt']-1,0) r = triu(transpose(retval[1]['fjac'])[:n,:]) R = dot(r, perm) try: cov_x = inv(dot(transpose(R),R)) except LinAlgError: cov_x = None return (retval[0], cov_x) + retval[1:-1] + (mesg,info) else: return (retval[0], info) | 510547f61f981abe1ea89b12aa0442c154378da2 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/12971/510547f61f981abe1ea89b12aa0442c154378da2/minpack.py | [
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figure(1) | def plot_systematics(filelist,cp,dir,epoch,dag,opts): flist = [] for file in filelist: if os.path.split(file)[-1][:8] == "out-bin-": flist.append(file) freq = [] freqfile = cp.get('noisecomp','freq-file') for line in open(freqfile,'r').readlines(): freq.append(float(line.strip())) hfr1 = {} hfi1 = {} htr1 = {} hti1 = {} htrfr = {} htifi = {} htrfi = {} htifr = {} Ai = {} Ar = {} N = {} amp = {} amphf = {} Nt = 0 for f in freq: hfr1[f] = 0.0 hfi1[f] = 0.0 htr1[f] = 0.0 hti1[f] = 0.0 htrfr[f] = 0 htifi[f] = 0 htrfi[f] = 0 htifr[f] = 0 Ai[f] = 0.0 Ar[f] = 0.0 N[f] = 0.0 amp[f] = 0.0 amphf[f] = 0.0 freqcnt = 0; print "\tfirst pass through systematics files..." for file in flist: try: input = open(file,'r') except: print "WARNING: file " + file + " doesn't exist" continue for line in input.readlines(): tmp = line.split() if len(tmp) == 1: Nt += 1 continue ampt = float(tmp[0])**2 + float(tmp[1])**2 ampf = float(tmp[2])**2 + float(tmp[3])**2 N[freq[freqcnt]] += 1.0 amp[freq[freqcnt]] += ampt/2.0 + ampf/2.0 amphf[freq[freqcnt]] += ampf htr1[freq[freqcnt]] += float(tmp[0]) hti1[freq[freqcnt]] += float(tmp[1]) hfr1[freq[freqcnt]] += float(tmp[2]) hfi1[freq[freqcnt]] += float(tmp[3]) htrfr[freq[freqcnt]] += float(tmp[0])*float(tmp[2])#/ampf htifi[freq[freqcnt]] += float(tmp[1])*float(tmp[3])#/ampf htrfi[freq[freqcnt]] += float(tmp[0])*float(tmp[3])#/ampf htifr[freq[freqcnt]] += float(tmp[1])*float(tmp[2])#/ampf freqcnt += 1 if freqcnt >= len(freq): freqcnt = 0 #if N[freq[freqcnt]] > 100: break #Actually make it the mean for f in freq: #print "...found " + str(N[f]) + " of " + str(Nt) + " for " + str(f) htr1[f] /= N[f] hti1[f] /= N[f] hfr1[f] /= N[f] hfi1[f] /= N[f] #Ai[f] = (htifr[f]-htrfi[f])/N[f] #Ar[f] = (htrfr[f]+htifi[f])/N[f] Ai[f] = (htifr[f]-htrfi[f])/(amp[f]) Ar[f] = (htrfr[f]+htifi[f])/(amp[f]) amp[f] = sqrt(amp[f]/N[f]) fname = "Ar_Ai_"+epoch[1]+"-"+epoch[2]+".txt" fl = open(fname,'w') fl.write("#freq h(t) re sys\th(t) im sys\th(t) mag sys\th(t) phase sys\n") mag = {} phase = {} for f in freq: mag[f] = sqrt(Ar[f]*Ar[f]+Ai[f]*Ai[f]) phase[f] = atan2(Ai[f],Ar[f])*180.0/3.14159 fl.write(str(f) + "\t"+str(Ar[f])+"\t"+str(Ai[f])+"\t"+str(mag[f])+"\t"+str(phase[f])+"\n") fl.close() realHistVecs = {} imagHistVecs = {} binVec = [] nbins = int(ceil(float(N.values()[0])/50.0)); for f in freq: realHistVecs[f] = zeros(2*nbins) imagHistVecs[f] = zeros(2*nbins) for b in range(-nbins,nbins): binVec.append(float(b)/nbins) xr1 = {} xi1 = {} xr2 = {} xi2 = {} xr3 = {} xi3 = {} xr4 = {} xi4 = {} N = {} for f in freq: xr1[f] = 0.0 xi1[f] = 0.0 xr2[f] = 0.0 xi2[f] = 0.0 xr3[f] = 0.0 xi3[f] = 0.0 xr4[f] = 0.0 xi4[f] = 0.0 N[f] = 0.0 freqcnt = 0; print "\tsecond pass through systematics files..." #Compute the moments of the distribution for file in flist: try: input = open(file,'r') except: print "WARNING: file " + file + " doesn't exist" continue for line in input.readlines(): tmp = line.split() if len(tmp) == 1: continue N[freq[freqcnt]] += 1.0 htr = float(tmp[0]) hti = float(tmp[1]) hfr = float(tmp[2]) hfi = float(tmp[3]) xr = htr-Ar[freq[freqcnt]]*hfr + Ai[freq[freqcnt]]*hfi xi = hti-Ar[freq[freqcnt]]*hfi - Ai[freq[freqcnt]]*hfr bin(binVec,realHistVecs[freq[freqcnt]],xr/amp[freq[freqcnt]]) bin(binVec,imagHistVecs[freq[freqcnt]],xi/amp[freq[freqcnt]]) xr1[freq[freqcnt]] += xr xi1[freq[freqcnt]] += xi xr2[freq[freqcnt]] += xr*xr xi2[freq[freqcnt]] += xi*xi xr3[freq[freqcnt]] += xr*xr*xr xi3[freq[freqcnt]] += xi*xi*xi xr4[freq[freqcnt]] += xr*xr*xr*xr xi4[freq[freqcnt]] += xi*xi*xi*xi freqcnt += 1 if freqcnt >= len(freq): freqcnt = 0 #if N[freq[freqcnt]] > 100: break #Put them in units of the noise amplitude for f in freq: xr1[f] /= N[f]*amp[f] xi1[f] /= N[f]*amp[f] xr2[f] = sqrt(xr2[f]/N[f])/amp[f] xi2[f] = sqrt(xi2[f]/N[f])/amp[f] if xr3[f]: xr3[f] = pow(abs(xr3[f]/N[f]),1.0/3.0)/amp[f]*xr3[f]/abs(xr3[f]) else: xr3[f] = 0.0 if xi3[f]: xi3[f] = pow(abs(xi3[f]/N[f]),1.0/3.0)/amp[f]*xi3[f]/abs(xi3[f]) else: xi3[f] = 0.0 xr4[f] = pow(abs(xr4[f]/N[f]-3.0*pow(xr2[f]*amp[f],4)),1.0/4.0)/amp[f]*(xr4[f]/N[f]-3.0*pow(xr2[f]*amp[f],4))/abs(xr4[f]/N[f]-3.0*pow(xr2[f]*amp[f],4)) xi4[f] = pow(abs(xi4[f]/N[f]-3.0*pow(xi2[f]*amp[f],4)),1.0/4.0)/amp[f]*(xi4[f]/N[f]-3.0*pow(xi2[f]*amp[f],4))/abs(xi4[f]/N[f]-3.0*pow(xi2[f]*amp[f],4)) fname = "x1_x2_x3_x4_"+epoch[1]+"-"+epoch[2]+".txt" fl = open(fname,'w') fl.write("#freq \t xr \t xi \t xr^2 \t xi^2 \t xr^3 \t xi^3 \t xr^4 \t xi^4 \n") for f in freq: fl.write(str(f) + '\t' + str(xr1[f]) + '\t' + str(xi1[f]) + '\t' + str(xr2[f]) + '\t' + str(xi2[f]) + '\t' + str(xr3[f]) + '\t' + str(xi3[f]) + '\t' + str(xr4[f]) + '\t' + str(xi4[f]) + '\n') rootN = [] rootNdeg = [] for f in N.values(): rootN.append(1/sqrt(f)) rootNdeg.append(180/sqrt(f)/3.14159) fl.close() # Plot the results print "\tplotting..." # Plot the systematic in magnitude magfigname = "sys_mag"+epoch[1]+"-"+epoch[2]+".png" figure(1) errorbar(mag.keys(),mag.values(),rootN) title('h(t) and h(f) magnitude systematics '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('Mag') grid() savefig(dir + '/'+ magfigname) thumb = 'thumb-'+magfigname savefig(dir + '/'+ thumb,dpi=20) clf() close() # Plot the systematic in phase phasefigname = "sys_phase"+epoch[1]+"-"+epoch[2]+".png" figure(1) errorbar(phase.keys(),phase.values(),rootNdeg) title('h(t) and h(f) phase systematics '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('Phase (degrees)') grid() savefig(dir + '/'+ phasefigname) thumb = 'thumb-'+phasefigname savefig(dir + '/'+ thumb,dpi=20) clf() close() # Plot the residual moments x1figname = "sys_x1_"+epoch[1]+"-"+epoch[2]+".png" figure(1) plot(xr1.keys(),xr1.values()) plot(xi1.keys(),xi1.values(),'r') legend(['real','imaginary']) title('mean '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('mean') grid() savefig(dir + '/'+ x1figname) thumb = 'thumb-'+x1figname savefig(dir + '/'+ thumb,dpi=20) clf() close() # Plot the residual moments x2figname = "sys_x2_"+epoch[1]+"-"+epoch[2]+".png" figure(1) plot(xr2.keys(),xr2.values()) plot(xi2.keys(),xi2.values(),'r') legend(['real','imaginary']) title('residual noise sqrt of second moment '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('sigma') grid() savefig(dir + '/'+ x2figname) thumb = 'thumb-'+x2figname savefig(dir + '/'+ thumb,dpi=20) clf() close() # Plot the residual moments x3figname = "sys_x3_"+epoch[1]+"-"+epoch[2]+".png" figure(1) plot(xr3.keys(),xr3.values()) plot(xi3.keys(),xi3.values(),'r') legend(['real','imaginary']) title('residual noise cube root of third moment '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('cube root of skew') grid() savefig(dir + '/'+ x3figname) thumb = 'thumb-'+x3figname savefig(dir + '/'+ thumb,dpi=20) clf() close() # Plot the residual moments x4figname = "sys_x4_"+epoch[1]+"-"+epoch[2]+".png" figure(1) plot(xr4.keys(),xr4.values()) plot(xi4.keys(),xi4.values(),'r') legend(['real','imaginary']) title('residual noise fourth root of excess kurtosis '+epoch[1]+"-"+epoch[2]+'\n') xlabel('Freq') ylabel('fourth root of excess kurtosis') grid() savefig(dir + '/'+ x4figname) thumb = 'thumb-'+x4figname savefig(dir + '/'+ thumb,dpi=20) clf() close() pgname = dir + '/' + "sys_plots"+epoch[1]+"-"+epoch[2]+".html" page = open(pgname,'w') page.write('<h2>Plots of systematic errors between h(t) and h(f) '+epoch[1]+"-"+epoch[2]+'</h2><hr><br><br>\n') page.write('<h3>Systematics in magnitude and phase and moments of the residual distributions</h3><hr>\n') page.write('<img src='+magfigname+' width=600>\n') page.write('<img src='+phasefigname+' width=600>\n') page.write('<img src='+x1figname+' width=600>\n') page.write('<img src='+x2figname+' width=600>\n') page.write('<img src='+x3figname+' width=600>\n') page.write('<img src='+x4figname+' width=600><br><br>\n') page.write('<h3>Raw distribution of residual noise</h3><hr><br>\n') for f in freq: figname = "n_hist_"+str(f)+'_'+epoch[1]+"-"+epoch[2]+".png" figure(1) plot(binVec,realHistVecs[f]) plot(binVec,imagHistVecs[f],'r') legend(['real','imaginary']) title('residual noise distribution '+epoch[1]+"-"+epoch[2]+'\n'+'freq = '+str(f)) ylabel('Number') xlabel('n / amp of h(t)') thumb = 'thumb-'+figname savefig(dir + '/'+ thumb,dpi=20) grid() savefig(dir + '/'+ figname) clf() close() page.write('<a href='+figname+'><img src='+thumb+'></a>\n') page.close | da21469de3d5dc0444d38910fa554bbd3b46754d /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/5758/da21469de3d5dc0444d38910fa554bbd3b46754d/strain.py | [
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total_debit = currency_pool.compute(cr, uid, currency_id, company_currency, total_debit) | total_debit = currency_pool.compute(cr, uid, currency_id, company_currency, total_debit, context=context_multi_currency) | def onchange_partner_id(self, cr, uid, ids, partner_id, journal_id, price, currency_id, ttype, context=None): """price Returns a dict that contains new values and context | 02af34f56048406372b55ae89131f75f8d3688e5 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/7397/02af34f56048406372b55ae89131f75f8d3688e5/account_voucher.py | [
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button.clicked = partial(hide_opts, pager, optsval) | button._callback_add('clicked', partial(hide_opts, pager, optsval)) | def show_opts(pager, *args, **kwargs): box = elementary.Box(pager) box.show() scroller = elementary.Scroller(pager) scroller.show() scroller.bounce_set(0, 0) scroller.size_hint_weight_set(1.0, 1.0) scroller.size_hint_align_set(-1.0, -1.0) box.pack_start(scroller) oframe = elementary.Frame(pager) oframe.label_set(_("Options")) oframe.show() oframe.style_set('pad_small') oframe.size_hint_weight_set(1.0, 1.0) oframe.size_hint_align_set(-1.0, -1.0) obox = elementary.Box(oframe) obox.show() optsconf = loadOpts() optsval = {} """ report = elementary.Check(obox) report.label_set('request delivery report') report.show() report.size_hint_weight_set(1.0, 0.0) report.size_hint_align_set(0.0, 0.0) obox.pack_end(report) charset = elementary.Check(obox) charset.label_set('force GSM ASCII charset') charset.show() charset.size_hint_weight_set(-1.0, 0.0) charset.size_hint_align_set(-1.0, 0.0) obox.pack_end(charset) store = elementary.Check(obox) store.label_set('store SMS in outbox') store.show() store.size_hint_weight_set(-1.0, 0.0) store.size_hint_align_set(-1.0, 0.0) obox.pack_end(store) flash = elementary.Check(obox) flash.label_set('send as Class 0') flash.show() flash.size_hint_weight_set(-1.0, 0.0) flash.size_hint_align_set(-1.0, 0.0) obox.pack_end(flash) csm = elementary.Check(obox) csm.label_set('ask before sending CSM') csm.show() csm.size_hint_weight_set(-1.0, 0.0) csm.size_hint_align_set(-1.0, 0.0) obox.pack_end(csm) """ for opt in opts: chk = elementary.Check(obox) chk.label_set(opts[opt]) chk.show() chk.size_hint_weight_set(-1.0, 0.0) chk.size_hint_align_set(-1.0, 0.0) obox.pack_end(chk) try: chk.state_set(optsconf[opt]) except: chk.state_set(optsdef[opt]) optsval[opt] = chk button = elementary.Button(pager) button.label_set(_("Back")) button.show() button.clicked = partial(hide_opts, pager, optsval) button.size_hint_weight_set(-1.0, 0.0) button.size_hint_align_set(-1.0, 0.0) box.pack_end(button) oframe.content_set(obox) scroller.content_set(oframe) pager.content_push(box) | 925033402ecbb94f7bf67b07664d713f2f07039b /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/11430/925033402ecbb94f7bf67b07664d713f2f07039b/opimd_reply.py | [
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self.layoutWidget1 = QtGui.QWidget(self.tab_2) self.layoutWidget1.setGeometry(QtCore.QRect(90,10,569,73)) self.layoutWidget1.setObjectName("layoutWidget1") self.vboxlayout13 = QtGui.QVBoxLayout(self.layoutWidget1) self.vboxlayout13.setObjectName("vboxlayout13") self.label_2 = QtGui.QLabel(self.layoutWidget1) | self.layoutWidget2 = QtGui.QWidget(self.tab_2) self.layoutWidget2.setGeometry(QtCore.QRect(90,10,583,73)) self.layoutWidget2.setObjectName("layoutWidget2") self.vboxlayout12 = QtGui.QVBoxLayout(self.layoutWidget2) self.vboxlayout12.setObjectName("vboxlayout12") self.label_2 = QtGui.QLabel(self.layoutWidget2) | def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(QtCore.QSize(QtCore.QRect(0,0,776,593).size()).expandedTo(MainWindow.minimumSizeHint())) MainWindow.setWindowIcon(QtGui.QIcon("../../../.designer/backup")) | 79b42f390e6f53f319f4cccbce3f6018d111c729 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/1108/79b42f390e6f53f319f4cccbce3f6018d111c729/main_ui.py | [
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print "\n".join(out) | def _str_member_list(self, name): """ Generate a member listing, autosummary:: table where possible, and a table where not. | 138b7efa6ddc85a068d234a5067ea5a71a6b28db /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/8817/138b7efa6ddc85a068d234a5067ea5a71a6b28db/docscrape_sphinx.py | [
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self.new_word = [] | def on_back_clicked(self, widget=None, data=None): if self.search.get_text()!= '': self.frame2.hide() self.search.set_text('') self.welcome.show() self.note.set_alignment(0.5, 0.1) self.note.set_markup('<span foreground="white"><b>Nothing selected</b></span>') return self.treestore.clear() #self.search.set_text('') self.new_word = [] conn = sqlite3.connect(db_file_path) c = conn.cursor() c.execute("""select word, accuracy from word_groups""") ls = c.fetchall() #print 'l', ls c.close() self.acc_dict = {} for i in ls: if i[1] == u'0:0': self.acc_dict[i[0]] = 0 else: try: self.new_word.remove(i[0]) except: pass t = i[1].split(':') acc = float(t[0])/float(t[1])*100 acc = int(acc) self.acc_dict[i[0]] = acc | 3d4b7cae0d5feaf772d3ed4be964bb8a9304ed1f /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/10994/3d4b7cae0d5feaf772d3ed4be964bb8a9304ed1f/wordgroupz.py | [
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use_f_model_scaled = False): | use_f_model_scaled = False, overall_scale = 1.0, f_ordered_solvent = None, f_ordered_solvent_dist = None, n_ordered_water = 0, b_ordered_water = 0.0): assert f_obs is not None assert f_obs.is_real_array() | def __init__(self, f_obs = None, r_free_flags = None, b_cart = [0.,0.,0.,0.,0.,0.], k_sol = 0.0, b_sol = 0.0, sf_algorithm = "fft", sf_cos_sin_table = True, target_name = None, abcd = None, alpha_beta_params = None, xray_structure = None, f_mask = None, f_calc = None, mask_params = None, trust_xray_structure = False, update_xray_structure = True, use_f_model_scaled = False): self.f_obs = f_obs self.r_free_flags = None self.sf_algorithm = sf_algorithm self.sf_cos_sin_table = sf_cos_sin_table self.abcd = abcd self.alpha_beta_params = alpha_beta_params self.xray_structure = xray_structure self.overall_scale = 1.0 self.use_f_model_scaled= use_f_model_scaled if(mask_params is not None): self.mask_params = mask_params else: self.mask_params = mmtbx.masks.mask_master_params.extract() zero = flex.complex_double(self.f_obs.data().size(), 0.0) assert self.f_obs is not None assert self.f_obs.is_real_array() if(r_free_flags is not None): assert r_free_flags.indices().all_eq(self.f_obs.indices()) self.update_r_free_flags(r_free_flags) self.f_obs_w = self.f_obs.select(self.work) self.f_obs_t = self.f_obs.select(self.test) self.structure_factor_gradients_w = cctbx.xray.structure_factors.gradients( miller_set = self.f_obs_w, cos_sin_table = self.sf_cos_sin_table) self.uc = self.f_obs.unit_cell() self.d_spacings = self.f_obs.d_spacings().data() self.d_spacings_w = self.d_spacings.select(self.work) self.d_spacings_t = self.d_spacings.select(self.test) self.ss = 1./flex.pow2(self.d_spacings) / 4. if(self.xray_structure is None): self.xray_structure_mask_cache = None assert [f_calc, f_mask].count(None) == 0 assert f_mask.is_complex_array() assert f_calc.is_complex_array() assert f_mask.indices().all_eq(self.f_obs.indices()) assert f_calc.indices().all_eq(self.f_obs.indices()) self.update_core(f_calc = f_calc, f_mask = f_mask, b_cart = b_cart, k_sol = k_sol, b_sol = b_sol) else: self.xray_structure_mask_cache = \ self.xray_structure.deep_copy_scatterers() if(not trust_xray_structure): assert [f_calc, f_mask].count(None) == 2 if(update_xray_structure): self.update_xray_structure(xray_structure = self.xray_structure, update_f_calc = True, update_f_mask = True, force_update_f_mask = True, k_sol = k_sol, b_sol = b_sol, b_cart = b_cart) else: self.update_core(f_calc = f_calc, f_mask = f_mask, b_cart = b_cart, k_sol = k_sol, b_sol = b_sol) assert len(b_cart) == 6 if(self.abcd is not None): assert self.abcd.indices().all_eq(self.f_obs.indices()) == 1 if(self.sf_algorithm not in ("fft", "direct")): raise RuntimeError("Unknown s.f. calculation method: %s"% self.sf_algorithm) self.f_ordered_solvent = self.f_obs.array(data = zero) self.f_ordered_solvent_dist = self.f_obs.array(data = zero) self.n_ordered_water = 0.0 self.b_ordered_water = 0.0 self._setup_target_functors(target_name=target_name) | 65c736cff24544f6f106f227d62f69c231be8261 /local1/tlutelli/issta_data/temp/all_python//python/2007_temp/2007/696/65c736cff24544f6f106f227d62f69c231be8261/f_model.py | [
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info[field][i] = (buginfo[0], bug_url % buginfo[0]) | try: full_bug_url = bug_url % buginfo[0] info[field][i] = (buginfo[0], full_bug_url) except TypeError: logging.warning("Invalid bugtracker url format") | def review_detail(request, review_request_id, template_name="reviews/review_detail.html"): """ Main view for review requests. This covers the review request information and all the reviews on it. """ review_request = get_object_or_404(ReviewRequest, pk=review_request_id) reviews = review_request.get_public_reviews() draft = review_request.get_draft(request.user) review = review_request.get_pending_review(request.user) if request.user.is_authenticated(): # If the review request is public and pending review and if the user # is logged in, mark that they've visited this review request. if review_request.public and review_request.status == "P": visited, visited_is_new = ReviewRequestVisit.objects.get_or_create( user=request.user, review_request=review_request) visited.timestamp = datetime.now() visited.save() # Unlike review above, this covers replies as well. review_timestamp = 0 if request.user.is_authenticated(): try: last_draft_review = Review.objects.filter( review_request=review_request, user=request.user, public=False).latest() review_timestamp = last_draft_review.timestamp except Review.DoesNotExist: pass # Find out if we can bail early. Generate an ETag for this. last_activity_time = review_request.get_last_activity_time() etag = "%s:%s:%s:%s" % (request.user, last_activity_time, review_timestamp, settings.AJAX_SERIAL) if etag_if_none_match(request, etag): return HttpResponseNotModified() repository = review_request.repository changedescs = review_request.changedescs.filter(public=True) entries = [] for temp_review in reviews: temp_review.ordered_comments = \ temp_review.comments.order_by('filediff', 'first_line') entries.append({ 'review': temp_review, 'timestamp': temp_review.timestamp, }) for changedesc in changedescs: fields_changed = [] for name, info in changedesc.fields_changed.items(): multiline = False if 'added' in info or 'removed' in info: change_type = 'add_remove' # We don't hard-code URLs in the bug info, since the # tracker may move, but we can do it here. if (name == "bugs_closed" and review_request.repository.bug_tracker): bug_url = review_request.repository.bug_tracker for field in info: for i, buginfo in enumerate(info[field]): info[field][i] = (buginfo[0], bug_url % buginfo[0]) elif 'old' in info or 'new' in info: change_type = 'changed' multiline = (name == "description" or name == "testing_done") # Branch text is allowed to have entities, so mark it safe. if name == "branch": if 'old' in info: info['old'][0] = mark_safe(info['old'][0]) if 'new' in info: info['new'][0] = mark_safe(info['new'][0]) elif name == "screenshot_captions": change_type = 'screenshot_captions' else: # No clue what this is. Bail. continue fields_changed.append({ 'title': fields_changed_name_map.get(name, name), 'multiline': multiline, 'info': info, 'type': change_type, }) entries.append({ 'changeinfo': fields_changed, 'changedesc': changedesc, 'timestamp': changedesc.timestamp, }) entries.sort(key=lambda item: item['timestamp']) response = render_to_response(template_name, RequestContext(request, { 'draft': draft, 'review_request': review_request, 'review_request_details': draft or review_request, 'entries': entries, 'review': review, 'request': request, 'upload_diff_form': UploadDiffForm(repository), 'upload_screenshot_form': UploadScreenshotForm(), 'scmtool': repository.get_scmtool(), 'PRE_CREATION': PRE_CREATION, })) set_etag(response, etag) return response | ee4b6ce0d22b89e91f0e4559331af6b81f826430 /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/1600/ee4b6ce0d22b89e91f0e4559331af6b81f826430/views.py | [
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e_dir = os.path.join(self._root_dir, entry) | entry_fixed = entry.replace('/', os.path.sep) e_dir = os.path.join(self._root_dir, entry_fixed) | def RunOnDeps(self, command, args): """Runs a command on each dependency in a client and its dependencies. | 7e4f973c324c3a681c5f85ed5f17db8b8829ac9e /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/6076/7e4f973c324c3a681c5f85ed5f17db8b8829ac9e/gclient.py | [
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accel = self.client.get_string(gconf_path) if gconf_path in [x[0] for x in GHOTKEYS]: globalhotkeys.unbind(accel) if not globalhotkeys.bind(key, self.guake.show_hide): globalhotkeys.bind(accel, self.guake.show_hide) model.set(giter, 2, accel) raise ShowableError(_('key binding error'), _('Unable to bind %s key') % key, -1) else: if accel != 'disabled': keynum, mask = gtk.accelerator_parse(accel) self.guake.accel_group.disconnect_key(keynum, mask) | def each_key(model, path, subiter): keyentry = model.get_value(subiter, 2) if keyentry and keyentry == hotkey: msg = _("The shortcut \"%s\" is already in use.") % keylabel raise ShowableError(_('Error setting keybinding.'), msg, -1) | de00492a8254b0d7a402011a0823338d7843934d /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/11147/de00492a8254b0d7a402011a0823338d7843934d/prefs.py | [
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objects = self.object_filenames(sources, strip_dir=1, | objects = self.object_filenames(sources, strip_dir=0, | def _prep_compile(self, sources, output_dir, depends=None): """Decide which souce files must be recompiled. | bca6afe49388ea29611207af33e3eb07a4170da1 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/3187/bca6afe49388ea29611207af33e3eb07a4170da1/ccompiler.py | [
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def _state(self, cr, uid, ids, name, args, context={}): | def _state(self, cr, uid, ids, name, args, context=None): | def _state(self, cr, uid, ids, name, args, context={}): result = {} mod_obj = self.pool.get('ir.module.module') for md in self.browse(cr, uid, ids): ids = mod_obj.search(cr, uid, [('name', '=', md.name)]) if ids: result[md.id] = mod_obj.read(cr, uid, [ids[0]], ['state'])[0]['state'] else: result[md.id] = 'unknown' return result | e7222cab5279bd291723fbbb0cc5fed751321ff0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/12853/e7222cab5279bd291723fbbb0cc5fed751321ff0/module.py | [
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print " <3> Data Set 2, Data:", d2_data_seconds | print "Data Set 2, Data:", d2_data_seconds | def extract_comp_data(comp_file_info): ## Read in d line dict from config file and Process data from source .csv files. d1_data = [] d2_data = [] d1_data_dict = {} d2_data_dict = {} d1_scatter_data_labels = [] d2_scatter_data_labels = [] #List of variables from configuration file column names. d1_data_filename = comp_file_info['d1_Filename'] #String of filename d1_column_name_row_index = int(comp_file_info['d1_Col_Name_Row'])-1 #Data 1, Column Name Row Number d1_data_row_index = int(comp_file_info['d1_Data_Row'])-1 #Data 1, Starting Row Number d1_start_data_val = comp_file_info['d1_Start'] #String value to start d1 plot data d1_stop_data_val = comp_file_info['d1_End'] #String value to stop d1 plot data d1_start_comp_val = comp_file_info['d1_Comp_Start'] #String value to start d1 compare data d1_stop_comp_val = comp_file_info['d1_Comp_End'] #String value to start d1 compare data d1_initial_value = comp_file_info['d1_Initial_Value'] #Initial Value for Quantity d1_ind_column_name_value = comp_file_info['d1_Ind_Col_Name'].strip() #Data 1, Independent Data Column Name d1_Dep_column_name_value = comp_file_info['d1_Dep_Col_Name'].strip() #Data 1, Dep Column Name ind_Scale_Factor = float(comp_file_info['Scale_Ind']) Dep_Scale_Factor = float(comp_file_info['Scale_Dep']) d2_data_filename = comp_file_info['d2_Filename'] #String of filename d2_column_name_row_index = int(comp_file_info['d2_Col_Name_Row'])-1 #Data Set 2, Data Column Name Row Number d2_data_row_index = int(comp_file_info['d2_Data_Row'])-1 #Data Set 2, Data Starting Row Number d2_start_data_val = comp_file_info['d2_Start'] #String value to start d2 plot data d2_stop_data_val = comp_file_info['d2_End'] #String value to stop d2 plot data d2_start_comp_val = comp_file_info['d2_Comp_Start'] #String value to start d2 compare data d2_stop_comp_val = comp_file_info['d2_Comp_End'] #String value to start d2 compare data d2_initial_value = comp_file_info['d2_Initial_Value'] #Initial value for Quantity d2_ind_column_name_value = comp_file_info['d2_Ind_Col_Name'].strip() #Data Set 2, Independent Data Column Name d2_Dep_column_name_value = comp_file_info['d2_Dep_Col_Name'].strip() #Data Set 2, Dep Column Name # Create Scatter Data Labels for the comparison results. if d1_Dep_column_name_value[0] == '[': if diagnostic_level >= 2: print "Data Set 1, Column Name List Detected" d1_compound_col_names = eval(d1_Dep_column_name_value) if diagnostic_level >= 3: print " <3> Data Set 1, Compound Column Names:", d1_compound_col_names for name in d1_compound_col_names: if diagnostic_level >= 2: print "Data Set 1, Sub-Column Name:", name d1_scatter_data_labels.append(comp_file_info['Quantity']+"~"+comp_file_info['Group']+"~"+comp_file_info['Dataname']+"~"+name) else: if diagnostic_level >= 2: print "Single Data Set 1, Column Name:", d1_Dep_column_name_value d1_scatter_data_labels.append(comp_file_info['Quantity']+"~"+comp_file_info['Group']+"~"+comp_file_info['Dataname']+"~"+d1_Dep_column_name_value+"~"+d1_ind_column_name_value) if d2_Dep_column_name_value[0] == '[': if diagnostic_level >= 2: print "Data Set 2, Column Name List Detected" d2_compound_col_names = eval(d2_Dep_column_name_value) if diagnostic_level >= 3: print " <3> Data Set 2, Compound Column Names:", d2_Dep_column_name_value for name in d2_compound_col_names: if diagnostic_level >= 2: print "Data Set 2, Sub-Column Name:", name d2_scatter_data_labels.append(comp_file_info['Quantity']+"~"+comp_file_info['Group']+"~"+comp_file_info['Dataname']+"~"+name) else: if diagnostic_level >= 2: print "Single Data Set 2, Column Name:", d2_Dep_column_name_value d2_scatter_data_labels.append(comp_file_info['Quantity']+"~"+comp_file_info['Group']+"~"+comp_file_info['Dataname']+"~"+d2_Dep_column_name_value+"~"+d2_ind_column_name_value) if diagnostic_level >= 3: print " <3> Data Set 1, Data Labels:\n", d1_scatter_data_labels print " <3> Data Set 2, Data Labels:\n", d2_scatter_data_labels combined_scatter_data_labels = [d1_scatter_data_labels,d2_scatter_data_labels] if diagnostic_level >= 3: print " <3> Combined Scatter Data:",combined_scatter_data_labels metric = comp_file_info['Metric'] #String indicating the type of metric required. group_value = int(comp_file_info['Group']) try: d1_file_object = open(data_directory+d1_data_filename, "U") except: print "!!! Data Set 1, filename "+d1_data_filename+" will not open. !!!" exit() try: d2_file_object = open(data_directory+d2_data_filename, "U") except: print "!!! Data Set 2, filename "+d2_data_filename+" will not open. !!!" exit() if diagnostic_level >= 2: print "*** Start File Processing ***" # Read in Data Set 1, data and flip lists from rows to columns. if diagnostic_level >= 2: print "Reading in:", d1_data_filename for x in range(d1_column_name_row_index): d1_file_object.next() d1_data_cols = zip(*csv.reader(d1_file_object)) if diagnostic_level >= 3: print " <3> Data Set 1, Data Columns:",d1_data_cols # Find Ind_Axis index number and confirm Col_Name based on d1_Ind_Col_Name value in config file. column_counter = 0 for column in d1_data_cols: if column[0].strip() == d1_ind_column_name_value: if diagnostic_level >= 2: print "Data Set 1, Independent Data Col name is: ",column[0].strip() if diagnostic_level >= 3: print " <3> The Index Value is:",column_counter d1_ind_axis_column_name = column[0].strip() else: column_counter = column_counter + 1 if column_counter == len(d1_data_cols): print "!!! Problem with d1_Ind_Col_Name: "+column[0].strip()+" value in Config File !!!" exit() #Convert tuples to lists. d1_data_list = [list(sublist) for sublist in d1_data_cols] if diagnostic_level >= 3: print " <3> Data Set 1, Data List:", d1_data_list if diagnostic_level >= 2: print "*** Build Data Set 1 Dictionary. ***" #Catch errors if conversion of data from string to float fails. for d1_list in d1_data_list: if diagnostic_level >= 3: print " <3> Data Set 1, List:", d1_list try: temp_list = [] for x in d1_list[(d1_data_row_index-d1_column_name_row_index):]: if x == 'Null' or x == '' or x == 'NaN' or x == 'inf' or x == '-inf': list_value = 'Null' else: list_value = float(x) temp_list.append(list_value) if diagnostic_level >= 3: print " <3> Temp List:", temp_list d1_data_dict[d1_list[0].strip()] = temp_list except: print "!!! Data Set 1, Conversion Error in Column Name "+d1_list[0].strip()+". !!!" exit() #Read in d2 data and flip lists from rows to columns. if diagnostic_level >= 2: print "Reading in:", d2_data_filename for x in range(d2_column_name_row_index): d2_file_object.next() d2_data_cols = zip(*csv.reader(d2_file_object)) if diagnostic_level >= 3: print " <3> Data Set 2, Data Columns:", d2_data_cols #Find Ind_Axis index number and confirm Col_Name based on d2_Ind_Col_Name value in config file. column_counter = 0 for column in d2_data_cols: if column[0].strip() == d2_ind_column_name_value: if diagnostic_level >= 2: print "Data Set 2, Independent Data Col name is: ",column[0].strip() if diagnostic_level >= 3: print " <3> The Index Value is: ",column_counter d2_ind_axis_column_name = column[0].strip() else: column_counter = column_counter + 1 if column_counter == len(d2_data_cols): print "!!! Problem with d2_Ind_Col_Name value in Config File !!!" exit() #Convert tuples to lists. d2_data_list = [list(sublist) for sublist in d2_data_cols] #Build Prediction/Data Set 2, Data Dictionary #Catch errors if conversion of data from string to float fails. for d2_list in d2_data_list: try: temp_list = [] for x in d2_list[(d2_data_row_index-d2_column_name_row_index):]: if x == 'Null' or x == '' or x == 'NaN' or x == 'inf' or x == '-inf': list_value = 'Null' else: list_value = float(x) temp_list.append(list_value) d2_data_dict[d2_list[0].strip()] = temp_list except: print "!!! Data Set 2, Conversion Error in Column Name "+d2_list[0].strip()+". !!!" exit() # Passing in the Ind_Axis Column Name. d1_comp_ranges = find_start_stop_index(d1_data_dict,d1_ind_axis_column_name,d1_start_data_val,d1_stop_data_val,d1_start_comp_val,d1_stop_comp_val,ind_Scale_Factor) d2_comp_ranges = find_start_stop_index(d2_data_dict,d2_ind_axis_column_name,d2_start_data_val,d2_stop_data_val,d2_start_comp_val,d2_stop_comp_val,ind_Scale_Factor) if diagnostic_level >= 3: print " <3> D1 COMP RANGES: ",d1_comp_ranges print " <3> D2 COMP RANGES: ",d2_comp_ranges #### Begin Column specific operations. scatter_counter = 0 for scatter_label in combined_scatter_data_labels[0]: if diagnostic_level >= 3: print " <3> Scatter Counter Value:", scatter_counter d1_label_temp = [] d2_label_temp = [] d1_label_temp = split("~",combined_scatter_data_labels[0][scatter_counter]) d2_label_temp = split("~",combined_scatter_data_labels[1][scatter_counter]) if diagnostic_level >= 3: print " <3> Data Set 1, Label Split:", d1_label_temp print " <3> Data Set 2, Label Split:", d2_label_temp ##Find metric values. d1_data_values_comp = d1_data_dict[d1_label_temp[3]][d1_comp_ranges[2]:(d1_comp_ranges[3]+1)] d2_data_values_comp = d2_data_dict[d2_label_temp[3]][d2_comp_ranges[2]:(d2_comp_ranges[3]+1)] if diagnostic_level >= 3: print " <3> Data Set 1, data values:", d1_data_values_comp print " <3> Data Set 2, data values:", d2_data_values_comp # This allows the d line Quantity value to be set to 0 when either d1 or d2 data is missing. if comp_file_info['Quantity'] == str(0): print "Quantity set to 0, no comparison made." else: if metric == 'max': if diagnostic_level >= 2: print "*** Compute Rise ***" temp_d1_data_values = [x for x in d1_data_values_comp if x != 'Null'] d1_rise_value = max(temp_d1_data_values) - float(d1_initial_value) temp_d2_data_values = [x for x in d2_data_values_comp if x != 'Null'] d2_rise_value = max(temp_d2_data_values) - float(d2_initial_value) if diagnostic_level >= 2: print "Data Set 1, Initial Value is:", d1_initial_value print "Data Set 1, Rise Value is:", d1_rise_value print "Data Set 2, Initial Value is:", d2_initial_value print "Data Set 2, Rise Value is:", d2_rise_value print "\n*** Computing Rise Relative Difference ***" try: relative_difference = ((d2_rise_value-d1_rise_value)/d1_rise_value) if diagnostic_level >= 2: print "Rise Relative Difference is:", relative_difference except: print "!!! Computation of Rise relative_difference failed. !!!\nCheck source data for columns listed above." exit() #Append Rise Values to Global Scatter Data Dictionary. if diagnostic_level >= 3: print " <3> Scatter Data Labels:", combined_scatter_data_labels[0][scatter_counter] scatter_data_dict[combined_scatter_data_labels[0][scatter_counter]] = [d1_rise_value,d2_rise_value,relative_difference] elif metric == 'min': if diagnostic_level >= 2: print "*** Compute Drop ***" temp_d1_data_values = [x for x in d1_data_values_comp if x != 'Null'] d1_drop_value = float(d1_initial_value) - min(temp_d1_data_values) temp_d2_data_values = [x for x in d2_data_values_comp if x != 'Null'] d2_drop_value = float(d2_initial_value) - min(temp_d2_data_values) if diagnostic_level >= 2: print "Data Set 1, Initial Value is:", d1_initial_value print "Data Set 1, Drop Value is:", d1_drop_value print "Data Set 2, Initial Value is:", d2_initial_value print "Data Set 2, Drop Value is:", d2_drop_value print "\n*** Computing Drop Relative Difference ***" try: relative_difference = ((d2_drop_value-d1_drop_value)/d1_drop_value) if diagnostic_level >= 2: print "Min Relative Difference is:", relative_difference except: print "!!! Computation of Min relative_difference failed. !!!\nCheck source data for columns listed above." exit() #Append Drop Values to Global Scatter Data Dictionary. scatter_data_dict[combined_scatter_data_labels[0][scatter_counter]] = [d1_drop_value,d2_drop_value,relative_difference] else: print "!!! Metric is undefined in the input file. !!!" exit() #Create data lists based on specified ranges d1_data_seconds = zip(d1_data_dict[d1_ind_axis_column_name][d1_comp_ranges[0]:(d1_comp_ranges[1]+1)], d1_data_dict[d1_label_temp[3]][d1_comp_ranges[0]:(d1_comp_ranges[1]+1)]) if diagnostic_level >= 3: print " <3> Data Set 1, Data:", d1_data_seconds d2_data_seconds = zip(d2_data_dict[d2_ind_axis_column_name][d2_comp_ranges[0]:(d2_comp_ranges[1]+1)], d2_data_dict[d2_label_temp[3]][d2_comp_ranges[0]:(d2_comp_ranges[1]+1)]) if diagnostic_level >= 3: print " <3> Data Set 2, Data:", d2_data_seconds #Scale Ind_Axis Data. d1_data.append([[x[0] / ind_Scale_Factor, x[1]] for x in d1_data_seconds]) if diagnostic_level >= 3: print " <3> Scaled Data Set 1, Data:", d1_data d2_data.append([[x[0] / ind_Scale_Factor, x[1]] for x in d2_data_seconds]) if diagnostic_level >= 3: print " <3> Scaled Prediction Data:", d2_data #Need to Scale Dep_Axis Data... scatter_counter = scatter_counter + 1 if diagnostic_level >= 3: print "\n <3> Scatter Counter:", scatter_counter, "\n" # Close files d1_file_object.close() d2_file_object.close() return [d1_data,d2_data] | f66ca75013a32a9d59d8e58dec0baa78eda49b79 /local1/tlutelli/issta_data/temp/all_python//python/2008_temp/2008/12/f66ca75013a32a9d59d8e58dec0baa78eda49b79/Validation_Data_Processor.py | [
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cherrypy.engine.exit() | try: cherrypy.engine.exit() finally: cherrypy.server.httpserver = None | def exit(self): cherrypy.engine.exit() | c290d0037cc5585a836c0b4cdcc92cdea15833f6 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/9125/c290d0037cc5585a836c0b4cdcc92cdea15833f6/server.py | [
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raise osv.except_osv(_('Error!'), _('Can not create Journal Entry, Output Account defined on this product and Variant account on category of this product is same.')) | raise osv.except_osv(_('Error!'), _('Can not create Journal Entry, Output Account defined on this product and Variant account on category of this product are same.')) | def _get_accounting_data_for_valuation(self, cr, uid, move, context=None): """ Return the accounts and journal to use to post Journal Entries for the real-time valuation of the move. | f8d9f98f342cde826c20ddb03f3a861ff792ba29 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/7397/f8d9f98f342cde826c20ddb03f3a861ff792ba29/stock.py | [
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if key == IHALPHA: | if key == "IHALPHA": | def phasers(): "Fire phasers at bad guys." hits = [] kz = 0; k = 1; irec=0 # Cheating inhibitor ifast = False; no = False; itarg = True; msgflag = True; rpow=0 automode = "NOTSET" key=0 skip(1) # SR sensors and Computer are needed for automode if damaged(DSRSENS) or damaged(DCOMPTR): itarg = False if game.condition == "docked": prout(_("Phasers can't be fired through base shields.")) scanner.chew() return if damaged(DPHASER): prout(_("Phaser control damaged.")) scanner.chew() return if game.shldup: if damaged(DSHCTRL): prout(_("High speed shield control damaged.")) scanner.chew() return if game.energy <= 200.0: prout(_("Insufficient energy to activate high-speed shield control.")) scanner.chew() return prout(_("Weapons Officer Sulu- \"High-speed shield control enabled, sir.\"")) ifast = True # Original code so convoluted, I re-did it all # (That was Tom Almy talking about the C code, I think -- ESR) while automode=="NOTSET": key=scanner.next() if key == IHALPHA: if scanner.sees("manual"): if len(game.enemies)==0: prout(_("There is no enemy present to select.")) scanner.chew() key = IHEOL automode="AUTOMATIC" else: automode = "MANUAL" key = scanner.next() elif scanner.sees("automatic"): if (not itarg) and len(game.enemies) != 0: automode = "FORCEMAN" else: if len(game.enemies)==0: prout(_("Energy will be expended into space.")) automode = "AUTOMATIC" key = scanner.next() elif scanner.sees("no"): no = True else: huh() return elif key == IHREAL: if len(game.enemies)==0: prout(_("Energy will be expended into space.")) automode = "AUTOMATIC" elif not itarg: automode = "FORCEMAN" else: automode = "AUTOMATIC" else: # IHEOL if len(game.enemies)==0: prout(_("Energy will be expended into space.")) automode = "AUTOMATIC" elif not itarg: automode = "FORCEMAN" else: proutn(_("Manual or automatic? ")) scanner.chew() avail = game.energy if ifast: avail -= 200.0 if automode == "AUTOMATIC": if key == IHALPHA and scanner.sees("no"): no = True key = scanner.next() if key != IHREAL and len(game.enemies) != 0: prout(_("Phasers locked on target. Energy available: %.2f")%avail) irec=0 while True: scanner.chew() if not kz: for i in range(len(game.enemies)): irec += math.fabs(game.enemies[i].kpower)/(PHASEFAC*math.pow(0.90,game.enemies[i].kdist))*randreal(1.01, 1.06) + 1.0 kz=1 proutn(_("%d units required. ") % irec) scanner.chew() proutn(_("Units to fire= ")) key = scanner.next() if key!=IHREAL: return rpow = scanner.real if rpow > avail: proutn(_("Energy available= %.2f") % avail) skip(1) key = IHEOL if not rpow > avail: break if rpow<=0: # chicken out scanner.chew() return key=scanner.next() if key == IHALPHA and scanner.sees("no"): no = True if ifast: game.energy -= 200; # Go and do it! if checkshctrl(rpow): return scanner.chew() game.energy -= rpow extra = rpow if len(game.enemies): extra = 0.0 powrem = rpow for i in range(len(game.enemies)): hits.append(0.0) if powrem <= 0: continue hits[i] = math.fabs(game.enemies[i].kpower)/(PHASEFAC*math.pow(0.90,game.enemies[i].kdist)) over = randreal(1.01, 1.06) * hits[i] temp = powrem powrem -= hits[i] + over if powrem <= 0 and temp < hits[i]: hits[i] = temp if powrem <= 0: over = 0.0 extra += over if powrem > 0.0: extra += powrem hittem(hits) game.ididit = True if extra > 0 and not game.alldone: if game.tholian: proutn(_("*** Tholian web absorbs ")) if len(game.enemies)>0: proutn(_("excess ")) prout(_("phaser energy.")) else: prout(_("%d expended on empty space.") % int(extra)) elif automode == "FORCEMAN": scanner.chew() key = IHEOL if damaged(DCOMPTR): prout(_("Battle computer damaged, manual fire only.")) else: skip(1) prouts(_("---WORKING---")) skip(1) prout(_("Short-range-sensors-damaged")) prout(_("Insufficient-data-for-automatic-phaser-fire")) prout(_("Manual-fire-must-be-used")) skip(1) elif automode == "MANUAL": rpow = 0.0 for k in range(len(game.enemies)): aim = game.enemies[k].kloc ienm = game.quad[aim.i][aim.j] if msgflag: proutn(_("Energy available= %.2f") % (avail-0.006)) skip(1) msgflag = False rpow = 0.0 if damaged(DSRSENS) and \ not game.sector.distance(aim)<2**0.5 and ienm in (IHC, IHS): prout(cramen(ienm) + _(" can't be located without short range scan.")) scanner.chew() key = IHEOL hits[k] = 0; # prevent overflow -- thanks to Alexei Voitenko k += 1 continue if key == IHEOL: scanner.chew() if itarg and k > kz: irec=(abs(game.enemies[k].kpower)/(PHASEFAC*math.pow(0.9,game.enemies[k].kdist))) * randreal(1.01, 1.06) + 1.0 kz = k proutn("(") if not damaged(DCOMPTR): proutn("%d" % irec) else: proutn("??") proutn(") ") proutn(_("units to fire at %s- ") % crmena(False, ienm, "sector", aim)) key = scanner.next() if key == IHALPHA and scanner.sees("no"): no = True key = scanner.next() continue if key == IHALPHA: huh() return if key == IHEOL: if k==1: # Let me say I'm baffled by this msgflag = True continue if scanner.real < 0: # abort out scanner.chew() return hits[k] = scanner.real rpow += scanner.real # If total requested is too much, inform and start over if rpow > avail: prout(_("Available energy exceeded -- try again.")) scanner.chew() return key = scanner.next(); # scan for next value k += 1 if rpow == 0.0: # zero energy -- abort scanner.chew() return if key == IHALPHA and scanner.sees("no"): no = True game.energy -= rpow scanner.chew() if ifast: game.energy -= 200.0 if checkshctrl(rpow): return hittem(hits) game.ididit = True # Say shield raised or malfunction, if necessary if game.alldone: return if ifast: skip(1) if no == 0: if withprob(0.99): prout(_("Sulu- \"Sir, the high-speed shield control has malfunctioned . . .")) prouts(_(" CLICK CLICK POP . . .")) prout(_(" No response, sir!")) game.shldup = False else: prout(_("Shields raised.")) else: game.shldup = False overheat(rpow); | af15867a294e48006eba4fd9997cae401ccbfb05 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/3176/af15867a294e48006eba4fd9997cae401ccbfb05/sst.py | [
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def version(ui): | def show_version(ui): | def version(ui): """output version and copyright information""" ui.write("Mercurial version %s\n" % version.get_version()) ui.status( "\nCopyright (C) 2005 Matt Mackall <[email protected]>\n" "This is free software; see the source for copying conditions. " "There is NO\nwarranty; " "not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\n" ) | 0893811fc01f0dd4b4e8636ca072a2337f13402a /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/11312/0893811fc01f0dd4b4e8636ca072a2337f13402a/commands.py | [
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box = '<table class="box"><tr><th colspan=2>|strusers|</th></tr>\n' | box = '<table class="box" width="100%"><tr><th colspan=2>|strusers|</th></tr>\n' | def users(self, uri, build_user): log(3, 'Creating users table') box = '<table class="box"><tr><th colspan=2>|strusers|</th></tr>\n' box = box + '<tr>\n' box = box + '<th class="collabel">|strusername|</th>\n' box = box + '<th class="collabel">|strname|</th>\n' box = box + '</tr>\n'; if uri.letter > '': usernames = lampadas.users.letter_keys(uri.letter) for username in usernames: user = lampadas.users[username] box = box + '<tr>\n' box = box + '<td><a href="/user/' + username + '|uri.lang_ext|">' + username + '</a></td>\n' box = box + '<td>' + user.name + '</a></td>\n' box = box + '</tr>\n' box = box + '</table>\n' return box | 082273c82228cdbe8b4f226333276a401090d396 /local1/tlutelli/issta_data/temp/all_python//python/2006_temp/2006/6947/082273c82228cdbe8b4f226333276a401090d396/HTML.py | [
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do_test("malloc", "LD_PRELOAD=libhugetlbfs.so HUGETLB_MORECORE=yes") | do_test("malloc", LD_PRELOAD="libhugetlbfs.so", HUGETLB_MORECORE="yes") | def functional_tests(): """ Run the set of functional tests. """ global linkhuge_wordsizes # Kernel background tests not requiring hugepage support do_test("zero_filesize_segment") # Library background tests not requiring hugepage support do_test("test_root") do_test("meminfo_nohuge") # Library tests requiring kernel hugepage support do_test("gethugepagesize") do_test("gethugepagesizes") do_test("empty_mounts", "HUGETLB_VERBOSE=1") do_test("large_mounts", "HUGETLB_VERBOSE=1") # Tests requiring an active and usable hugepage mount do_test("find_path") do_test("unlinked_fd") do_test("readback") do_test("truncate") do_test("shared") do_test("mprotect") do_test_with_rlimit(resource.RLIMIT_MEMLOCK, -1, "mlock") do_test("misalign") # Specific kernel bug tests do_test("ptrace-write-hugepage") do_test("icache-hygiene") do_test("slbpacaflush") do_test("straddle_4GB", bits=(64,)) do_test("huge_at_4GB_normal_below", bits=(64,)) do_test("huge_below_4GB_normal_above", bits=(64,)) do_test("map_high_truncate_2") do_test("misaligned_offset") do_test("truncate_above_4GB") do_test("brk_near_huge") do_test("task-size-overrun") do_test_with_rlimit(resource.RLIMIT_STACK, -1, "stack_grow_into_huge") if dangerous == 1: do_test("readahead_reserve") do_test("madvise_reserve") do_test("fadvise_reserve") else: do_test("readahead_reserve.sh") do_test("madvise_reserve.sh") do_test("fadvise_reserve.sh") sysctls = setup_shm_sysctl(64*1048576) do_test("shm-perms") restore_shm_sysctl(sysctls) # Tests requiring an active mount and hugepage COW do_test("private") do_test("fork-cow") do_test("direct") do_test("malloc") do_test("malloc", "LD_PRELOAD=libhugetlbfs.so HUGETLB_MORECORE=yes") do_test("malloc_manysmall") do_test("malloc_manysmall", \ "LD_PRELOAD=libhugetlbfs.so HUGETLB_MORECORE=yes") do_test("heapshrink") do_test("heapshrink", "LD_PRELOAD=libheapshrink.so") do_test("heapshrink", "LD_PRELOAD=libhugetlbfs.so HUGETLB_MORECORE=yes") do_test("heapshrink", "LD_PRELOAD=\"libhugetlbfs.so libheapshrink.so\" " + \ "HUGETLB_MORECORE=yes") do_test("heapshrink", "LD_PRELOAD=libheapshrink.so HUGETLB_MORECORE=yes " +\ "HUGETLB_MORECORE_SHRINK=yes") do_test("heapshrink", "LD_PRELOAD=\"libhugetlbfs.so libheapshrink.so\" " + \ "HUGETLB_MORECORE=yes HUGETLB_MORECORE_SHRINK=yes") do_test("heap-overflow", "HUGETLB_VERBOSE=1 HUGETLB_MORECORE=yes") # Run the remapping tests' up-front checks linkhuge_wordsizes = check_linkhuge_tests() # Original elflink tests elflink_test("linkhuge_nofd", "HUGETLB_VERBOSE=0") elflink_test("linkhuge") # Original elflink sharing tests elfshare_test("linkshare") elflink_and_share_test("linkhuge") # elflink_rw tests elflink_rw_test("linkhuge_rw") # elflink_rw sharing tests elflink_rw_and_share_test("linkhuge_rw") # Accounting bug tests # reset free hpages because sharing will have held some # alternatively, use do_test("chunk-overcommit") do_test("alloc-instantiate-race shared") do_test("alloc-instantiate-race private") do_test("truncate_reserve_wraparound") do_test("truncate_sigbus_versus_oom") # Test direct allocation API do_test("get_huge_pages") # Test overriding of shmget() do_test("shmoverride_linked") do_test("shmoverride_unlinked", "LD_PRELOAD=libhugetlbfs.so") # Test hugetlbfs filesystem quota accounting do_test("quota.sh") # Test accounting of HugePages_{Total|Free|Resv|Surp} # Alters the size of the hugepage pool so should probably be run last do_test("counters.sh") | 637db55c57379f6e4c69d320ca16f9b05c873e3f /local1/tlutelli/issta_data/temp/all_python//python/2009_temp/2009/3715/637db55c57379f6e4c69d320ca16f9b05c873e3f/run_tests.py | [
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