def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def add_handles(self, model, forward_handle, backward_handle):
        """
        Add handles to all non-container layers in the model.
        Recursively for non-container layers
        """
        handles_list = []
        model_children = list(model.children())
        if model_children:
            for child in model_children:
                handles_list.extend(self.add_handles(child, forward_handle, backward_handle))
        else:  # leaves
            handles_list.append(model.register_forward_hook(forward_handle))
            handles_list.append(model.register_backward_hook(backward_handle))
        return handles_list