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 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