Changeset 248ff73 in sasview for src/sas/sascalc

Timestamp:

Aug 1, 2017 9:36:38 AM (7 years ago)

Author:

lewis

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-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

5a8cdbb

Parents:

b2c28a5

Message:

Ensure unit tests pass

utest_averaging still fails as it relies on loading in an Igor 2D file,
which is no longer possible

Location:

src/sas/sascalc/dataloader

Files:

• file_reader_base_class.py (modified) (3 diffs)
• readers/associations.py (modified) (1 diff)
• readers/cansas_reader.py (modified) (3 diffs)

src/sas/sascalc/dataloader/file_reader_base_class.py

@@ -66 +66 @@
                     if not self.f_open.closed:
                         self.f_open.close()
+                    if len(self.output) > 0:
+                        # Sort the data that's been loaded
+                        self.sort_one_d_data()
+                        self.sort_two_d_data()
         else:
             msg = "Unable to find file at: {}\n".format(filepath)
             msg += "Please check your file path and try again."
             self.handle_error_message(msg)
-
-        if isinstance(self.output[0], Data1D):
-            self.sort_one_d_data()
-        elif isinstance(self.output[0], Data2D):
-            self.sort_two_d_data()
 
         # Return a list of parsed entries that data_loader can manage
@@ -122 +121 @@
                 if data.dlam is not None:
                     data.dlam = np.asarray([data.dlam[i] for i in ind]).astype(np.float64)
-                data.xmin = np.min(data.x)
-                data.xmax = np.max(data.x)
-                data.ymin = np.min(data.y)
-                data.ymax = np.max(data.y)
-            final_list.append(data)
-        self.output = final_list
-        self.remove_empty_q_values()
+                if len(data.x > 0):
+                    data.xmin = np.min(data.x)
+                    data.xmax = np.max(data.x)
+                    data.ymin = np.min(data.y)
+                    data.ymax = np.max(data.y)
+        #     final_list.append(data)
+        # self.output = final_list
 
     def sort_two_d_data(self):
@@ -157 +156 @@
                     dataset.x_bins = dataset.qx_data[:int(n_cols)]
                 dataset.data = dataset.data.flatten()
-                final_list.append(dataset)
-        self.output = final_list
+        #         final_list.append(dataset)
+        # self.output = final_list
 
     def set_all_to_none(self):

src/sas/sascalc/dataloader/readers/associations.py

@@ -37 +37 @@
     Read the specified settings file to associate
     default readers to file extension.
-    
+
     :param loader: Loader object
     :param settings: path to the json settings file [string]

src/sas/sascalc/dataloader/readers/cansas_reader.py

@@ -130 +130 @@
                 self.current_datainfo.meta_data[PREPROCESS] = self.processing_instructions
                 self._parse_entry(entry)
-                self.send_to_output() # Combune datasets with DataInfo
+                has_error_dx = self.current_dataset.dx is not None
+                has_error_dy = self.current_dataset.dy is not None
+                self.remove_empty_q_values(has_error_dx=has_error_dx,
+                    has_error_dy=has_error_dy)
+                self.send_to_output() # Combine datasets with DataInfo
+                self.current_datainfo = DataInfo() # Reset DataInfo
         except FileContentsException as fc_exc:
             # File doesn't meet schema - try loading with a less strict schema
@@ -215 +220 @@
             self.current_dataset = plottable_1D(np.empty(0), np.empty(0),
                 np.empty(0), np.empty(0))
-            self.current_dataset.dxl = np.empty(0)
-            self.current_dataset.dxw = np.empty(0)
         self.base_ns = "{" + CANSAS_NS.get(self.cansas_version).get("ns") + "}"
 
@@ -295 +298 @@
                     self.current_dataset.dx = np.append(self.current_dataset.dx, data_point)
                 elif tagname == 'dQw':
+                    if self.current_dataset.dqw is None: self.current_dataset.dqw = np.empty(0)
                     self.current_dataset.dxw = np.append(self.current_dataset.dxw, data_point)
                 elif tagname == 'dQl':
+                    if self.current_dataset.dxl is None: self.current_dataset.dxl = np.empty(0)
                     self.current_dataset.dxl = np.append(self.current_dataset.dxl, data_point)
                 elif tagname == 'Qmean':