code: def _post_run_hook(self, runtime):
          ''' generates a report showing nine slices, three per axis, of an
          arbitrary volume of `in_files`, with the resulting segmentation
          overlaid '''
          self._anat_file = self.inputs.in_files[0]
          outputs = self.aggregate_outputs(runtime=runtime)
          self._mask_file = outputs.tissue_class_map
          # We are skipping the CSF class because with combination with others
          # it only shows the skullstriping mask
          self._seg_files = outputs.tissue_class_files[1:]
          self._masked = False
  
          NIWORKFLOWS_LOG.info('Generating report for FAST (in_files %s, '
                               'segmentation %s, individual tissue classes %s).',
                               self.inputs.in_files,
                               outputs.tissue_class_map,
                               outputs.tissue_class_files)
  
          return super(FASTRPT, self)._post_run_hook(runtimef _post_run_hook(self, runtime):
          ''' generates a report showing nine slices, three per axis, of an
          arbitrary volume of `in_files`, with the resulting segmentation
          overlaid '''
          self._anat_file = self.inputs.in_files[0]
          outputs = self.aggregate_outputs(runtime=runtime)
          self._mask_file = outputs.tissue_class_map
          # We are skipping the CSF class because with combination with others
          # it only shows the skullstriping mask
          self._seg_files = outputs.tissue_class_files[1:]
          self._masked = False
  
          NIWORKFLOWS_LOG.info('Generating report for FAST (in_files %s, '
                               'segmentation %s, individual tissue classes %s).',
                               self.inputs.in_files,
                               outputs.tissue_class_map,
                               outputs.tissue_class_files)
  
          return super(FASTRPT, self)._post_run_hook(runtime)
docs: generates a report showing nine slices, three per axis, of an
          arbitrary volume of `in_files`, with the resulting segmentation
          overlaid