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 create_snapshot(self, volume_id, **kwargs):
        """
        Creates a new snapshot.
        volume_id(Required): id of the volume.
        force: Create a snapshot even if the volume attached (Default=False)
        display_name: Optional snapshot Name.
        display_description: User friendly snapshot description.
        """
        post_body = {'volume_id': volume_id}
        post_body.update(kwargs)
        post_body = json.dumps({'snapshot': post_body})
        resp, body = self.post('snapshots', post_body)
        body = json.loads(body)
        return resp, body['snapshot']