def get_stats_result(self, request):
        """Return the StatsResult object for this statistic"""
        stats_datasets = StatsMakerDataverses(**request.GET.dict())

        pub_state = self.get_pub_state(request)

        if pub_state == self.PUB_STATE_ALL:
            stats_result = stats_datasets.get_dataverse_counts_by_month()
        elif pub_state == self.PUB_STATE_UNPUBLISHED:
            stats_result = stats_datasets.get_dataverse_counts_by_month_unpublished()
        else:
            stats_result = stats_datasets.get_dataverse_counts_by_month_published()

        return stats_result
def testWrapperV2Caller(self, wrapper):
    """Tests that wrapper V2 is using the LayerRNNCell's caller."""

    with legacy_base_layer.keras_style_scope():
      base_cell = rnn_cell_impl.MultiRNNCell(
          [rnn_cell_impl.BasicRNNCell(1) for _ in range(2)])
    rnn_cell = wrapper(base_cell)
    inputs = ops.convert_to_tensor_v2_with_dispatch([[1]], dtype=dtypes.float32)
    state = ops.convert_to_tensor_v2_with_dispatch([[1]], dtype=dtypes.float32)
    _ = rnn_cell(inputs, [state, state])
    weights = base_cell._cells[0].weights
    self.assertLen(weights, expected_len=2)
    self.assertTrue(all("_wrapper" in v.name for v in weights))