def test_views():
    X = np.array(X_list)
    adata = ad.AnnData(X, obs=obs_dict, var=var_dict, uns=uns_dict, dtype="int32")

    assert adata[:, 0].is_view
    assert adata[:, 0].X.tolist() == np.reshape([1, 4, 7], (3, 1)).tolist()

    adata[:2, 0].X = [0, 0]

    assert adata[:, 0].X.tolist() == np.reshape([0, 0, 7], (3, 1)).tolist()

    adata_subset = adata[:2, [0, 1]]

    assert adata_subset.is_view
    # now transition to actual object
    adata_subset.obs["foo"] = range(2)
    assert not adata_subset.is_view

    assert adata_subset.obs["foo"].tolist() == list(range(2))
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))