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 _prepare_filename(
        self, action_name: Optional[str] = None, extension: str = ".txt", split_token: str = "-"
    ) -> str:
        args = []
        if self._stage is not None:
            args.append(self._stage)
        if self.filename:
            args.append(self.filename)
        if self._local_rank is not None:
            args.append(str(self._local_rank))
        if action_name is not None:
            args.append(action_name)
        filename = split_token.join(args) + extension
        return filename