165207a79dafcf658f483d26ccffd9e982389dcc,niftynet/io/image_reader.py,ImageReader,initialise,#ImageReader#Any#Any#Any#,78

Before Change

        dictionaries of image objects, and save them to ``self.output_list``.
        
        if not self.names:
            tf.logging.fatal("Please specify data input keywords, this should "
                             "be a subset of SUPPORTED_INPUT provided "
                             "in application file.")
            raise ValueError
        filtered_names = [name for name in self.names
                          if vars(task_param).get(name, None)]
        if not filtered_names:

After Change

            task_param = {mod:(mod,) for mod in list(data_param)}
        elif isinstance(task_param, ParserNamespace):
            task_param = vars(task_param)
        try:
            task_param = dict(task_param)
        except ValueError:
            tf.logging.fatal(
                "To concatenate multiple input data arrays,\n"
                "task_param should be a dictionary in the form:\n"
                "{"new_modality_name": ["modality_1", "modality_2",...]}.")
            raise
        if file_list is None:
            // defaulting to all files detected by the input specification
            file_list = ImageSetsPartitioner().initialise(data_param).all_files
        if not self.names:

Instances