def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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)