def METHOD_NAME(twelve_runs: List[Run]):
    metric = FuncSuccessRateMetric()
    metric.backfill()
    aggregation = metric.aggregate(labels={}, group_by=[], rollup=None)
    assert aggregation == {
        SQLMetricsStorage.get_path(): MetricSeries(
            metric_name="sematic.func_success_rate",
            metric_type=MetricType.GAUGE.name,
            columns=[],
            series=[(1.0 / 3, ())],
        )
    }