Changeset 6b3edc1 in sasview for fittingview/src/sans/perspectives/fitting/fitting.py

Timestamp:

Oct 12, 2011 5:56:03 PM (13 years ago)

Author:

Jae Cho <jhjcho@…>

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

e8f7c47

Parents:

ea8283d

Message:

fixing error when theory=None

File:

• fittingview/src/sans/perspectives/fitting/fitting.py (modified) (1 diff)

fittingview/src/sans/perspectives/fitting/fitting.py

@@ -1217 +1217 @@
             batch_outputs["Data"] = []
         from sans.guiframe.data_processor import BatchCell
-        cell = BatchCell()
-        cell.label = data.name
-        cell.value = index
-        theory_data.id = wx.NewId()
-        theory_data.name = model.name + "[%s]" % str(model.__class__.__name__)
-        cell.object = [data, theory_data]
-        batch_outputs["Data"].append(cell)
-        for key, value in data.meta_data.iteritems():
-            if key not in batch_inputs.keys():
-                batch_inputs[key] = []
-            if key.lower().strip() != "loader":
-                batch_inputs[key].append(value)
-        param = "temperature"
-        if hasattr(data.sample, param):
-            if param not in  batch_inputs.keys():
-                 batch_inputs[param] = []
-            batch_inputs[param].append(data.sample.temperature)
-        # associate residuals plot
-        batch_outputs["Chi2"][index].object = [residuals]
-       
-   
+        
+        try:
+            #Suucessful fit
+            cell = BatchCell()
+            cell.label = data.name
+            cell.value = index
+            theory_data.id = wx.NewId()
+            theory_data.name = model.name + "[%s]" % str(model.__class__.__name__)
+            cell.object = [data, theory_data]
+            batch_outputs["Data"].append(cell)
+            for key, value in data.meta_data.iteritems():
+                if key not in batch_inputs.keys():
+                    batch_inputs[key] = []
+                if key.lower().strip() != "loader":
+                    batch_inputs[key].append(value)
+            param = "temperature"
+            if hasattr(data.sample, param):
+                if param not in  batch_inputs.keys():
+                     batch_inputs[param] = []
+                batch_inputs[param].append(data.sample.temperature)
+            # associate residuals plot
+            batch_outputs["Chi2"][index].object = [residuals]
+        except: 
+            # theory is None
+            pass
+
     def _fit_completed(self, result, page_id, batch_outputs,
                              batch_inputs=None,