Changeset 3bfcd9e in sasview for src

Timestamp:

Aug 13, 2018 3:47:15 PM (6 years ago)

Author:

GitHub <noreply@…>

Branches:

master, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, unittest-saveload

Children:

ec52ea1

Parents:

fde3042 (diff), e2663b7 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent.

git-author:

Paul Butler <butlerpd@…> (08/13/18 15:47:15)

git-committer:

GitHub <noreply@…> (08/13/18 15:47:15)

Message:

Merge pull request #161 from SasView?/ticket-1142-plugin-reload

Ticket 1142 plugin reload

addresses #1142 hopefully for the last time - actually will leave the ticket open as there is an improved fix that is waiting in a sasmodels PR to be merged after the release - move ticket to 4.3 now

Location:

src/sas

Files:

• sasgui/perspectives/calculator/pyconsole.py (modified) (2 diffs)
• sascalc/dataloader/readers/abs_reader.py (modified) (1 diff)
• sascalc/fit/pagestate.py (modified) (2 diffs)
• sasgui/guiframe/local_perspectives/plotting/parameters_panel_slicer.py (modified) (2 diffs)
• sasgui/guiframe/media/graph_help.rst (modified) (3 diffs)

src/sas/sasgui/perspectives/calculator/pyconsole.py

@@ -28 +28 @@
     Check that the model on the path can run.
     """
+    # TODO: fix model caching
+    # model_test.run_one() is directly forcing a reload of the module, but
+    # sasview_model is caching models that have already been loaded.
+    # If the sasview load happens before the test, then the module is
+    # reloaded out from under it, which causes the global variables in
+    # the model function definitions to be cleared (at least in python 2.7).
+    # To fix the proximal problem of models failing on test, perform the
+    # run_one() tests first.  To fix the deeper problem we should either
+    # remove caching from sasmodels.sasview_model.load_custom_model() or
+    # add caching to sasmodels.custom.load_custom_kernel_module().  Another
+    # option is to add a runTests method to SasviewModel which runs the
+    # test suite directly from the model info structure.  Probably some
+    # combination of options:
+    #    (1) have this function (check_model) operate on a loaded model
+    #    so that caching isn't needed in sasview_models.load_custom_model
+    #    (2) add the runTests method to SasviewModel so that tests can
+    #    be run on a loaded module.
+    #
+    # Also, note that the model test suite runs the equivalent of the
+    # "try running the model" block below, and doesn't need to be run
+    # twice.  The reason for duplicating the block here is to generate
+    # an exception that show_model_output can catch.  Need to write the
+    # runTests method so that it returns success flag as well as output
+    # string so that the extra test is not necessary.
+
+    # check the model's unit tests run
+    from sasmodels.model_test import run_one
+    result = run_one(path)
+
+    # remove cached version of the model, if any
+    from sasmodels import sasview_model
+    sasview_model.MODEL_BY_PATH.pop(path, None)
+
     # try running the model
-    from sasmodels.sasview_model import load_custom_model
-    Model = load_custom_model(path)
+    Model = sasview_model.load_custom_model(path)
     model = Model()
     q =  np.array([0.01, 0.1])
@@ -36 +68 @@
     qx, qy =  np.array([0.01, 0.01]), np.array([0.1, 0.1])
     Iqxy = model.evalDistribution([qx, qy])
-
-    # check the model's unit tests run
-    from sasmodels.model_test import run_one
-    result = run_one(path)
 
     return result

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

@@ -171 +171 @@
 
                 try:
-                    _x = float(toks[0])
+                    _x = float(toks[4])
                     _y = float(toks[1])
                     _dy = float(toks[2])

src/sas/sascalc/fit/pagestate.py

@@ -13 +13 @@
 ################################################################################
 import time
+import re
 import os
 import sys
@@ -962 +963 @@
         if node.get('version'):
             # Get the version for model conversion purposes
-            self.version = tuple(int(e) for e in
-                                 str.split(node.get('version'), "."))
+            x = re.sub('[^\d.]', '', node.get('version'))
+            self.version = tuple(int(e) for e in str.split(x, "."))
             # The tuple must be at least 3 items long
             while len(self.version) < 3:

src/sas/sasgui/guiframe/local_perspectives/plotting/parameters_panel_slicer.py

@@ -251 +251 @@
             self.bck.Add(self.batch_slicer_button, (iy, ix), (1, 1),
                          wx.LEFT | wx.EXPAND | wx.ADJUST_MINSIZE, 15)
+            # Help button
+
+            self.bt_help = wx.Button(self, wx.NewId(), "HELP")
+            self.bt_help.SetToolTipString(
+                "Help for the slicer parameters and batch slicing.")
+            self.bck.Add(self.bt_help, (iy, 1), (1, 1),
+                         wx.ALIGN_RIGHT | wx.ADJUST_MINSIZE, 15)
+            wx.EVT_BUTTON(self, self.bt_help.GetId(), self.on_help)
+
             iy += 1
             self.bck.Add((5, 5), (iy, ix), (1, 1),
                          wx.LEFT | wx.EXPAND | wx.ADJUST_MINSIZE, 5)
+
         self.bck.Layout()
         self.bck.Fit(self)
@@ -535 +545 @@
             self.default_value += "_{0}".format(key).split(" [")[0]
             self.default_value += "-{:.2f}".format(params[key])
+
+    def on_help(self, event=None):
+        """
+        Opens a help window for the slicer parameters/batch slicing window
+        :param event:
+        :return:
+        """
+        from sas.sasgui.guiframe.documentation_window import DocumentationWindow
+
+        _TreeLocation = "user/sasgui/guiframe/graph_help.html"
+        _doc_viewer = DocumentationWindow(self, wx.ID_ANY, _TreeLocation,
+                                          "#d-data-averaging",
+                                          "Data Explorer Help")

src/sas/sasgui/guiframe/media/graph_help.rst

@@ -266 +266 @@
 
 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ
+.. _d_data_averaging:
 
 2D data averaging
@@ -301 +302 @@
 Alternatively, once a 'slicer' is active you can also select the region to
 average by bringing back the *Dataset Menu* and selecting *Edit Slicer
-Parameters*. A dialog window will appear in which you can enter values to
-define a region or select the number of points to plot (*nbins*).
+Parameters and Batch Fitting*. A dialog window will appear in which you can
+enter values to define a region, select the number of points to plot (*nbins*),
+or apply the slicer to any or all other 2D data plots.
 
 A separate plot window will also have appeared, displaying the requested
@@ -315 +317 @@
 
 To remove a 'slicer', bring back the *Dataset menu* and select *Clear Slicer*.
+
+Batch Slicing
+^^^^^^^^^^^^^
+
+A slicer can be applied to any or all existing 2D data plots using the 'Slicer
+Parameters' window. To open the window, select *Edit Slicer Parameters and Batch
+Fitting* in the *Dataset Menu* (see Invoking_the_dataset_menu_). Batch slicing
+options are available at the bottom of the window.
+
+Select the 2D plots you want to apply the slicer to. All 2D plots are selected
+by default. The resulting 1D data for all slicers can be saved as a text file
+and then sent to fitting by selecting the *Auto save generated 1D* check box.
+Sending data to the fitting perspective requires the data be saved.
+
+Once the auto save check box is selected, you can select where the files are
+saved. The file name for the saved data is the slicer name plus the file name
+of the original data set, plus what is in the *Append to file name* field. The
+default value in the append to field includes the names and values for all of
+the slicer parameters.
+
+The batch of slices can be sent to fitting if desired, with three options
+available. The first is to not fit the data, the second is to send the
+slices to individual fit pages, and the third is to send all sliced data to a
+single batch fit window.
+
+Clicking *Apply Slicer to Selected Plots* will create a slicer for each selected
+plot with the parameters entered in the 'Slicer Parameters' window. Depending on
+the options selected the data may then be saved, loaded as separate data sets in
+the data manager panel, and finally sent to fitting.
 
 Unmasked circular average