def test_view_of_view(matrix_type, subset_func, subset_func2):
    adata = gen_adata((30, 15), X_type=matrix_type)
    adata.raw = adata
    if subset_func is single_subset:
        pytest.xfail("Other subset generating functions have trouble with this")
    var_s1 = subset_func(adata.var_names, min_size=4)
    var_view1 = adata[:, var_s1]
    var_s2 = subset_func2(var_view1.var_names)
    var_view2 = var_view1[:, var_s2]
    assert var_view2._adata_ref is adata
    obs_s1 = subset_func(adata.obs_names, min_size=4)
    obs_view1 = adata[obs_s1, :]
    obs_s2 = subset_func2(obs_view1.obs_names)
    assert adata[obs_s1, :][:, var_s1][obs_s2, :]._adata_ref is adata

    view_of_actual_copy = adata[:, var_s1].copy()[obs_s1, :].copy()[:, var_s2].copy()

    view_of_view_copy = adata[:, var_s1][obs_s1, :][:, var_s2].copy()

    assert_equal(view_of_actual_copy, view_of_view_copy, exact=True)
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")))