code: def _apply_missings(self, res, include_missing=False):
          
          # --element idxs that satisfy `include_missing` arg. Note this
          # --includes MR_CAT elements so is essentially all-or-valid-elements
          element_idxs = tuple(
              (
                  d.all_elements.element_idxs
                  if include_missing
                  else d.valid_elements.element_idxs
              )
              for d in self._all_dimensions
          )
          return res[np.ix_(*element_idxs)] if element_idxs else res
docs: Return ndarray with missing and insertions as specified.
  
          The return value is the result of the following operations on *res*,
          which is a raw cube value array (raw meaning it has shape of original
          cube response).
  
          * Remove vectors (rows/cols) for missing elements if *include_missin*
            is False.
  
  
          Note that it does *not* include pruning.