convert fit example find_background to using addFitPair

auto/Examples/fit/scatter2d/find_background.py

@@ -24,7 +24,7 @@ def get_simulation(P):
     return simulation
 
 
-def create_real_data():
+def fake_data():
     """
     Generating "real" data by adding noise, background and scale
     to the simulated data.
@@ -43,17 +43,17 @@ def create_real_data():
     result = simulation.simulate()
 
     # retrieving simulated data in the form of numpy array
-    return result.npArray()
+    return result
 
 
 if __name__ == '__main__':
-    real_data = create_real_data()
+    data = fake_data()
 
     fit_objective = ba.FitObjective()
-    fit_objective.addSimulationAndData(get_simulation, real_data, 1)
+    fit_objective.addFitPair(get_simulation, data, 1)
 
     fit_objective.initPrint(10)
-    observer = ba_fitmonitor.PlotterGISAS() 
+    observer = ba_fitmonitor.PlotterGISAS()
     fit_objective.initPlot(10, observer)
 
     P = ba.Parameters()

auto/MiniExamples/fit/scatter2d/find_background.py

@@ -24,7 +24,7 @@ def get_simulation(P):
     return simulation
 
 
-def create_real_data():
+def fake_data():
     """
     Generating "real" data by adding noise, background and scale
     to the simulated data.
@@ -43,17 +43,17 @@ def create_real_data():
     result = simulation.simulate()
 
     # retrieving simulated data in the form of numpy array
-    return result.npArray()
+    return result
 
 
 if __name__ == '__main__':
-    real_data = create_real_data()
+    data = fake_data()
 
     fit_objective = ba.FitObjective()
-    fit_objective.addSimulationAndData(get_simulation, real_data, 1)
+    fit_objective.addFitPair(get_simulation, data, 1)
 
     fit_objective.initPrint(10)
-    observer = ba_fitmonitor.PlotterGISAS() 
+    observer = ba_fitmonitor.PlotterGISAS()
     plt.close() # (hide plot) fit_objective.initPlot(10, observer)
 
     P = ba.Parameters()

rawEx/fit/scatter2d/find_background.py

@@ -24,7 +24,7 @@ def get_simulation(P):
     return simulation
 
 
-def create_real_data():
+def fake_data():
     """
     Generating "real" data by adding noise, background and scale
     to the simulated data.
@@ -43,17 +43,17 @@ def create_real_data():
     result = simulation.simulate()
 
     # retrieving simulated data in the form of numpy array
-    return result.npArray()
+    return result
 
 
 if __name__ == '__main__':
-    real_data = create_real_data()
+    data = fake_data()
 
     fit_objective = ba.FitObjective()
-    fit_objective.addSimulationAndData(get_simulation, real_data, 1)
+    fit_objective.addFitPair(get_simulation, data, 1)
 
     fit_objective.initPrint(10)
-    observer = ba_fitmonitor.PlotterGISAS() 
+    observer = ba_fitmonitor.PlotterGISAS()
     <%= sm ? "plt.close() # (hide plot) " :"" %>fit_objective.initPlot(10, observer)
 
     P = ba.Parameters()