def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
def describe(self) -> None:
        """Logs a profile report after the conclusion of run."""
        # there are pickling issues with open file handles in Python 3.6
        # so to avoid them, we open and close the files within this function
        # by calling `_prepare_streams` and `teardown`
        self._prepare_streams()
        summary = self.summary()
        if summary:
            self._write_stream(summary)
        if self._output_file is not None:
            self._output_file.flush()
        self.teardown(stage=self._stage)