Changeset a78a02f in sasview for src/sas/sascalc/dataloader/readers

Timestamp:

Sep 7, 2017 2:04:43 PM (7 years ago)

Author:

krzywon

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:

7582df3

Parents:

b54440d

Message:

Make suggested changes for unit test fixes.

Location:

src/sas/sascalc/dataloader/readers

Files:

• cansas_reader.py (modified) (1 diff)
• danse_reader.py (modified) (1 diff)

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

@@ -299 +299 @@
                     self.current_dataset.dx = np.append(self.current_dataset.dx, data_point)
                 elif tagname == 'dQw':
-                    if self.current_dataset.dxw is None: self.current_dataset.dxw = np.empty(0)
+                    if self.current_dataset.dxw is None:
+                        self.current_dataset.dxw = 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)
+                    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':

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

@@ -189 +189 @@
         x_vals = np.tile(x_vals, (size_y, 1)).flatten()
         y_vals = np.tile(y_vals, (size_x, 1)).T.flatten()
-        if np.all(self.current_dataset.err_data == None) \
-                or np.any(self.current_dataset.err_data <= 0):
+        if (np.all(self.current_dataset.err_data == None)
+                or np.any(self.current_dataset.err_data <= 0)):
             new_err_data = np.sqrt(np.abs(self.current_dataset.data))
         else: