code: def copartition(self, axis, other, how_to_join, sort, force_repartition=False):
          if isinstance(other, type(self)):
              other = [other]
          index_obj = (
              [o.index for o in other] if axis == 0 else [o.columns for o in other]
          )
          joined_index = self._join_index_objects(
              axis ^ 1, index_obj, how_to_join, sort=sort
          )
          left_old_idx = self.index if axis == 0 else self.columns
          right_old_idxes = index_obj
          reindexed_self = self.data
          reindexed_other_list = []
          def compute_reindex(old_idx):
              def reindex_partition(df):
                  if axis == 0:
                      df.index = old_idx
                      new_df = df.reindex(index=joined_index)
                      new_df.index = pandas.RangeIndex(len(new_df.index))
                  else:
                      df.columns = old_idx
                      new_df = df.reindex(columns=joined_index)
                      new_df.columns = pandas.RangeIndex(len(new_df.columns))
                  return new_df
              return reindex_partition
          for i in range(len(other)):
              if i != 0 or (left_old_idx.equals(joined_index) and not force_repartition):
                  reindex_left = None
              else:
                  reindex_left = self._prepare_method(compute_reindex(left_old_idx))
              if right_old_idxes[i].equals(joined_index) and not force_repartition:
                  reindex_right = None
              else:
                  reindex_right = other[i]._prepare_method(
                      compute_reindex(right_old_idxes[i])
                  )
              reindexed_self, reindexed_other = reindexed_self.copartition_datasets(
                  axis, other[i].data, reindex_left, reindex_right
              )
              reindexed_other_list.append(reindexed_other)
          return reindexed_self, reindexed_other_list, joined_index