v1.1 release debug

app.py

@@ -325,14 +325,16 @@ if (st.session_state.uploaded):
 
   if (forecast_button or st.session_state.forecasted):
     df = series_to_df_exogenous(series)
-    print(df) # debug
-    print(len(df)) # debug
     n_periods = round(len(df) * 0.2)
+    print(n_periods) # debug
 
     train = train_test(df, n_periods)
     training_y, test_y, test_y_series, training_X, test_X, future_X = train
     train_test_model = test_fitting(df, training_X, training_y)
     
+    print(df) # debug
+    print(len(df)) # debug
+
     future_n_periods = forecast_period
     fitted, confint = train_test_model.predict(X=test_X, n_periods=n_periods, return_conf_int=True)
     index_of_fc = test_y_series.index