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 __init__(self, root, split="train", transforms=None):
        super().__init__(root=root, transforms=transforms)

        verify_str_arg(split, "split", valid_values=("train", "test"))

        root = Path(root) / "KittiFlow" / (split + "ing")
        images1 = sorted(glob(str(root / "image_2" / "*_10.png")))
        images2 = sorted(glob(str(root / "image_2" / "*_11.png")))

        if not images1 or not images2:
            raise FileNotFoundError(
                "Could not find the Kitti flow images. Please make sure the directory structure is correct."
            )

        for img1, img2 in zip(images1, images2):
            self._image_list += [[img1, img2]]

        if split == "train":
            self._flow_list = sorted(glob(str(root / "flow_occ" / "*_10.png")))