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 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)