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 _assert_community_contribution_stats_is_in_default_state(self):
        """Checks if the community contribution stats is in its default
        state.
        """
        community_contribution_stats = (
            suggestion_services.get_community_contribution_stats()
        )

        self.assertEqual(
            (
                community_contribution_stats
                .translation_reviewer_counts_by_lang_code
            ), {})
        self.assertEqual(
            (
                community_contribution_stats
                .translation_suggestion_counts_by_lang_code
            ), {})
        self.assertEqual(
            community_contribution_stats.question_reviewer_count, 0)
        self.assertEqual(
            community_contribution_stats.question_suggestion_count, 0)