code: def error_cutout_ma(self):
          
  
          if self._error is None:
              return None
          else:
              return np.ma.masked_array(self._error[self._slice],
                                        mask=self._total_mask)
docs: A 2D `~numpy.ma.MaskedArray` cutout from the input ``error``
          image.
  
          The mask is `True` for pixels outside of the source segment
          (labeled region of interest), masked pixels from the ``mask``
          input, or any non-finite ``data`` values (e.g. NaN or inf).
  
          If ``error`` is `None`, then ``error_cutout_ma`` is also `None`.