[tests][CO2Benchmark]moved the MC reference csv file.

BayesValidRox/tests/CO2Benchmark/MCrefs_MeanStd.csv

+Time [day],mean,std
+0.00000000,352.34543838,147.70673591
+11.11111111,325.59624221,63.06660731
+22.22222222,323.22328049,56.04783533
+33.33333333,321.86265388,52.03424212
+44.44444444,320.93206540,49.23894134
+55.55555556,320.23656565,47.11367608
+66.66666667,319.68794574,45.41225784
+77.77777778,319.23856977,44.00404241
+88.88888889,318.85955214,42.81036827
+100.00000000,318.53302616,41.77845688

BayesValidRox/tests/CO2Benchmark/Test_CO2Benchmark.py

@@ -31,6 +31,7 @@ from BayesInference.BayesInference import BayesInference, Discrepancy
 
 if __name__ == "__main__":
     
+    refDataDir = './refData/'
     #=====================================================
     #=============   COMPUTATIONAL MODEL  ================
     #=====================================================
@@ -53,8 +54,8 @@ if __name__ == "__main__":
     Model.MeasurementFile = 'MeasuredPressure.csv'
     
     # For Checking with the MonteCarlo refrence
-    # Model.MCReference = True
-    # Model.MCReferenceFile = 'MCrefs_MeanStd.csv'
+    Model.MCReference = True
+    Model.MCReferenceFile = 'MCrefs_MeanStd.csv'
     
     #=====================================================
     #=========   PROBABILISTIC INPUT MODEL  ==============
@@ -62,7 +63,6 @@ if __name__ == "__main__":
     Inputs = Input()
     
     # Import the MC parameter sets (Input parameters)
-    refDataDir = './refData/'
     filename = "InputParameters.csv"
     MCParametersets = pd.read_csv(refDataDir+filename)
     
@@ -217,9 +217,9 @@ if __name__ == "__main__":
     PostPCE.PCEMoments(PCEModel)
     
     # Plot Mean & Std for all Outputs
-    # PostPCE.MomentLineplot(PCE_Means = PostPCE.PCEMeans,
-    #                        PCE_Stds = PostPCE.PCEStd,
-    #                        x_label = 'Time [day]', SaveFig = True)
+    PostPCE.MomentLineplot(PCE_Means = PostPCE.PCEMeans,
+                            PCE_Stds = PostPCE.PCEStd,
+                            x_label = 'Time [day]', SaveFig = True)
     
     # Plot the evolution of the KLD,BME, and Modified LOOCV error
     if MetaModelOpts.ExpDesign.Method == 'sequential':