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 _stats_to_str(self, stats: Dict[str, str]) -> str:
        stage = f"{self._stage.upper()} " if self._stage is not None else ""
        output = [stage + "Profiler Report"]
        for action, value in stats.items():
            header = f"Profile stats for: {action}"
            if self._local_rank is not None:
                header += f" rank: {self._local_rank}"
            output.append(header)
            output.append(value)
        return os.linesep.join(output)