def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
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)