def test_set_var(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[:, subset_func(adata.var_names)]

    new_var = pd.DataFrame(
        dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
        index=subset.var_names,
    )

    assert subset.is_view
    subset.var = new_var
    assert not subset.is_view
    assert np.all(subset.var == new_var)

    assert joblib.hash(adata) == init_hash
def __getitem__(self, index):
        """Return example at given index.

        Args:
            index(int): The index of the example to retrieve

        Returns:
            tuple: A 3-tuple with ``(img1, img2, flow)``.
            The flow is a numpy array of shape (2, H, W) and the images are PIL images.
            ``flow`` is None if ``split="test"``.
            If a valid flow mask is generated within the ``transforms`` parameter,
            a 4-tuple with ``(img1, img2, flow, valid_flow_mask)`` is returned.
        """
        return super().__getitem__(index)