def test_set_varm(adata):
    init_hash = joblib.hash(adata)

    dim0_size = np.random.randint(2, adata.shape[1] - 1)
    dim1_size = np.random.randint(1, 99)
    orig_varm_val = adata.varm["o"].copy()
    subset_idx = np.random.choice(adata.var_names, dim0_size, replace=False)

    subset = adata[:, subset_idx]
    assert subset.is_view
    subset.varm = dict(o=np.ones((dim0_size, dim1_size)))
    assert not subset.is_view
    assert np.all(orig_varm_val == adata.varm["o"])  # Checking for mutation
    assert np.all(subset.varm["o"] == np.ones((dim0_size, dim1_size)))

    subset = adata[:, subset_idx]
    subset_hash = joblib.hash(subset)
    with pytest.raises(ValueError):
        subset.varm = dict(o=np.ones((dim0_size + 1, dim1_size)))
    with pytest.raises(ValueError):
        subset.varm = dict(o=np.ones((dim0_size - 1, dim1_size)))
    # subset should not be changed by failed setting
    assert subset_hash == joblib.hash(subset)
    assert init_hash == joblib.hash(adata)
def testDeviceWrapper(self):
    wrapper_type = rnn_cell_wrapper_v2.DeviceWrapper
    x = array_ops.zeros([1, 3])
    m = array_ops.zeros([1, 3])
    cell = rnn_cell_impl.GRUCell(3)
    wrapped_cell = wrapper_type(cell, "/cpu:0")
    children = wrapped_cell._trackable_children()
    wrapped_cell.get_config()  # Should not throw an error
    self.assertIn("cell", children)
    self.assertIs(children["cell"], cell)

    outputs, _ = wrapped_cell(x, m)
    self.assertIn("cpu:0", outputs.device.lower())