def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
def test_question_reviewers_are_needed_if_num_suggestions_past_max(self):
        stats = suggestion_services.get_community_contribution_stats()
        stats.question_suggestion_count = 2
        stats.question_reviewer_count = 1
        config_services.set_property(
            'committer_id', 'max_number_of_suggestions_per_reviewer', 1)

        reviewers_are_needed = stats.are_question_reviewers_needed()

        self.assertTrue(reviewers_are_needed)