audit := logger.CurrentStats()
	for id, st := range audit {
		labels := []string{targetID, id}
		m.Set(auditFailedMessages, float64(st.FailedMessages), labels...)
		m.Set(auditTargetQueueLength, float64(st.QueueLength), labels...)
		m.Set(auditTotalMessages, float64(st.TotalMessages), labels...)
	}

	return nil

		if rows == -1 {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, rows, sql)
		}
	case l.LogLevel == Info:
		sql, rows := fc()
		if rows == -1 {
			l.Printf(l.traceStr, utils.FileWithLineNum(), float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {

    WeakReference<?> classUsedByGetChecked = doTestClassUnloading();
    GcFinalization.awaitClear(classUsedByGetChecked);
  }

  /**
   * Loads {@link WillBeUnloadedException} in a separate {@code ClassLoader}, calls {@code
   * getChecked(future, WillBeUnloadedException.class)}, and returns the loader. The caller can then
   * test that the {@code ClassLoader} can still be GCed. The test amounts to a test that {@code

	test2Want2 := make(map[BucketOptions]Details)
	test2Want2[BucketOptions{Name: "bucket", ReplicationARN: "arn"}] = Details{
		LimitInBytesPerSecond:            1024 * 1024,
		CurrentBandwidthInBytesPerSecond: exponentialMovingAverage(betaBucket, float64(oneMiB), 2*float64(oneMiB)),
	}

	test1ActiveBuckets := make(map[BucketOptions]*bucketMeasurement)

		fmt.Println(strings.Repeat("=", len(profFName)))
		fmt.Println("")

		for t, stacks := range r {
			if less != 0 && t >= less {
				continue
			}
			if goTime == 0 || math.Abs(float64(t)-float64(goTime)) <= float64(margin) {
				for _, stack := range stacks {
					fmt.Println(stack)
				}
			}
		}
	}

		return
	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {
		return minPartSize, nil
	}
	return partSize, nil

	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {
		metricsLogIf(ctx, err)
	} else {
		m.Set(configStandardParity, float64(clusterDriveMetrics.storageInfo.Backend.StandardSCParity))
		m.Set(configRRSParity, float64(clusterDriveMetrics.storageInfo.Backend.RRSCParity))
	}

	return nil

	for _, t := range tgts {
		labels := []string{nameL, t.String(), endpointL, t.Endpoint()}
		m.Set(webhookFailedMessages, float64(t.Stats().FailedMessages), labels...)
		m.Set(webhookQueueLength, float64(t.Stats().QueueLength), labels...)
		m.Set(webhookTotalMessages, float64(t.Stats().TotalMessages), labels...)
	}

	return nil

	case model.Vector:
		if v.Len() < 1 {
			log.Debugf("no values for query: %s", query)
			return 0, nil
		}

		return float64(v[0].Value), nil
	default:
		return 0, errors.New("bad metric value type returned for query")
	}
}

func convertLatencyToDuration(val float64) time.Duration {
	return time.Duration(val) * time.Millisecond
}

func printHeader(writer io.Writer) {

            logger.warn("Failed to evaluate groovy script: {} => {}", template, paramMap, e);
            return null;
        } finally {
            final GroovyClassLoader loader = groovyShell.getClassLoader();
            loader.clearCache();
        }
    }

    @Override
    protected String getName() {
        return "groovy";
    }