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 _prepare_filename(
        self, action_name: Optional[str] = None, extension: str = ".txt", split_token: str = "-"
    ) -> str:
        args = []
        if self._stage is not None:
            args.append(self._stage)
        if self.filename:
            args.append(self.filename)
        if self._local_rank is not None:
            args.append(str(self._local_rank))
        if action_name is not None:
            args.append(action_name)
        filename = split_token.join(args) + extension
        return filename