code: def values(self):
          
          # TODO: Figure out how to intersperse pairwise objects for columns
          # that represent H&S
          return [
              _ColumnPairwiseSignificance(
                  self._slice,
                  col_idx,
                  self._axis,
                  self._weighted,
                  self._alpha,
                  self._only_larger,
                  self._hs_dims,
              )
              for col_idx in range(self._slice.get_shape(hs_dims=self._hs_dims)[1])
          ]
docs: list of _ColumnPairwiseSignificance tests.
  
          Result has as many elements as there are coliumns in the slice. Each
          significance test contains `p_vals` and `t_stats` significance tests.