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_validate_author_id(self):
        expected_suggestion_dict = self.suggestion_dict
        suggestion = suggestion_registry.SuggestionAddQuestion(
            expected_suggestion_dict['suggestion_id'],
            expected_suggestion_dict['target_id'],
            expected_suggestion_dict['target_version_at_submission'],
            expected_suggestion_dict['status'], self.author_id,
            self.reviewer_id, expected_suggestion_dict['change'],
            expected_suggestion_dict['score_category'],
            expected_suggestion_dict['language_code'], False, self.fake_date)

        suggestion.validate()

        suggestion.author_id = 0
        with self.assertRaisesRegex(
            utils.ValidationError, 'Expected author_id to be a string'):
            suggestion.validate()