code: def _post_run_hook(self, runtime):
          ''' generates a report showing slices from each axis of an arbitrary
          volume of in_file, with the resulting binary brain mask overlaid '''
  
          self._anat_file = self.inputs.in_file
          self._mask_file = self.aggregate_outputs(runtime=runtime).mask_file
          self._seg_files = [self._mask_file]
          self._masked = self.inputs.mask
  
          NIWORKFLOWS_LOG.info('Generating report for BET. file "%s", and mask file "%s"',
                               self._anat_file, self._mask_file)
  
          return super(BETRPT, self)._post_run_hook(runtimef _post_run_hook(self, runtime):
          ''' generates a report showing slices from each axis of an arbitrary
          volume of in_file, with the resulting binary brain mask overlaid '''
  
          self._anat_file = self.inputs.in_file
          self._mask_file = self.aggregate_outputs(runtime=runtime).mask_file
          self._seg_files = [self._mask_file]
          self._masked = self.inputs.mask
  
          NIWORKFLOWS_LOG.info('Generating report for BET. file "%s", and mask file "%s"',
                               self._anat_file, self._mask_file)
  
          return super(BETRPT, self)._post_run_hook(runtime)
docs: generates a report showing slices from each axis of an arbitrary
          volume of in_file, with the resulting binary brain mask overlaid