5874885c1736edc321ec202cb6e15d88e4324a5c,mne/externals/pymatreader/utils.py,,_handle_hdf5_dataset,#Any#,101

Before Change

            data.dtype == numpy.dtype("object"):

        data = [hdf5_object.file[cur_data] for cur_data in data.flatten()]
        if len(data) == 1 and hdf5_object.attrs["MATLAB_class"] == b"cell":
            data = data[0]
            data = data[()]
            return _assign_types(data)

After Change

        data = [hdf5_object.file[cur_data] for cur_data in data.flatten()]
        if len(data) == 1 and matlab_class == "cell":
            data = data[0]
            matlab_class = data.attrs.get("MATLAB_class",
                                          matlab_class).decode()
            data = data[()]
            return _assign_types(data, matlab_class)

        data = _hdf5todict(data)

Instances