Merge branch 'master' into 484-use-nwb-inspector-for-tutorial-files

Author: ehennestad

+tests/+unit/PynwbTutorialTest.m

@@ -21,6 +21,7 @@
     properties (Constant)
         % SkippedTutorials - Tutorials from pynwb to skip
         SkippedTutorials = {...
+            'plot_read_basics.py', ...      % Downloads file from dandi archive, does not export nwb file
             'streaming.py', ...             % Requires that HDF5 library is installed with the ROS3 driver enabled which is not a given
             'object_id.py', ...             % Does not export nwb file
             'plot_configurator.py', ...     % Does not export nwb file
@@ -31,7 +32,7 @@
         SkippedFiles = {'family_nwb_file_0.nwb'} % requires family driver from h5py
 
         % PythonDependencies - Package dependencies for running pynwb tutorials
-        PythonDependencies = {'hdmf-zarr', 'dataframe-image', 'matplotlib', 'dandi'}
+        PythonDependencies = {'hdmf-zarr', 'dataframe-image', 'matplotlib'}
     end
 
     properties (Access = private)
@@ -101,7 +102,7 @@ function testTutorial(testCase, tutorialFile)
 
             pythonPath = tests.util.getPythonPath();
 
-            cmd = sprintf('"%s" %s', pythonPath, tutorialFile );
+            cmd = sprintf('%s %s', pythonPath, tutorialFile);
             [status, cmdout] = system(cmd);
 
             if status == 1

+types/+untyped/@DataStub/load_mat_style.m

@@ -46,6 +46,18 @@
         end
 
         points = cell(length(dataDimensions), 1);
+
+        if isscalar(dataDimensions)
+            % Starting in MATLAB R2024b, the input argument for the size 
+            % of an array in ind2sub must be a vector of positive integers 
+            % with two or more elements. This fix replicates the behavior of 
+            % older MATLAB versions, where it was assumed that the a scalar
+            % size referred to the row dimension. For scalar dimensions 
+            % (i.e., row or column vectors), we can still assume this
+            % to be true in matnwb.
+            dataDimensions = [dataDimensions, 1];
+        end
+
         [points{:}] = ind2sub(dataDimensions, orderedSelection);
         readSpaceId = H5S.copy(spaceId);
         H5S.select_none(readSpaceId);
@@ -187,4 +199,4 @@
         indexKeyIndex(indexKeyIndexNextIndex) = indexKeyIndex(indexKeyIndexNextIndex) + 1;
         indexKeyIndex((indexKeyIndexNextIndex+1):end) = 1;
     end
-end
+end