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 report(world, counts, log_time):
    report = world.report()
    log = {
        'missing_text': counts['missing_text'],
        'missing_labels': counts['missing_labels'],
        'missing_label_candidates': counts['missing_label_candidates'],
        'empty_string_label_candidates': counts['empty_string_label_candidates'],
        'label_candidates_with_missing_label': counts[
            'label_candidates_with_missing_label'
        ],
        'did_not_return_message': counts['did_not_return_message'],
    }
    text, log = log_time.log(report['exs'], world.num_examples(), log)
    return text, log