def test_layers_view():
    X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    L = np.array([[10, 11, 12], [13, 14, 15], [16, 17, 18]])
    real_adata = ad.AnnData(X)
    real_adata.layers["L"] = L
    view_adata = real_adata[1:, 1:]
    real_hash = joblib.hash(real_adata)
    view_hash = joblib.hash(view_adata)

    assert view_adata.is_view

    with pytest.raises(ValueError):
        view_adata.layers["L2"] = L + 2

    assert view_adata.is_view  # Failing to set layer item makes adata not view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash == joblib.hash(view_adata)

    view_adata.layers["L2"] = L[1:, 1:] + 2

    assert not view_adata.is_view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash != joblib.hash(view_adata)
def __init__(self, root, split="train", pass_name="clean", transforms=None):
        super().__init__(root=root, transforms=transforms)

        verify_str_arg(split, "split", valid_values=("train", "test"))
        verify_str_arg(pass_name, "pass_name", valid_values=("clean", "final", "both"))
        passes = ["clean", "final"] if pass_name == "both" else [pass_name]

        root = Path(root) / "Sintel"
        flow_root = root / "training" / "flow"

        for pass_name in passes:
            split_dir = "training" if split == "train" else split
            image_root = root / split_dir / pass_name
            for scene in os.listdir(image_root):
                image_list = sorted(glob(str(image_root / scene / "*.png")))
                for i in range(len(image_list) - 1):
                    self._image_list += [[image_list[i], image_list[i + 1]]]

                if split == "train":
                    self._flow_list += sorted(glob(str(flow_root / scene / "*.flo")))