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

		if i%2 == 0 {
			l.Add(trace[i], trace[i])
		} else {
			if _, ok := l.Get(trace[i]); ok {
				hit++
			} else {
				miss++
			}
		}
	}
	b.Logf("hit: %d miss: %d ratio: %f", hit, miss, float64(hit)/float64(hit+miss))
}

func BenchmarkLRU_Freq_NoExpire(b *testing.B) {
	l := lru.NewLRU[int64, int64](8192, nil, 0)

	trace := make([]int64, b.N*2)
	for i := 0; i < b.N*2; i++ {
		if i%2 == 0 {

		m.Set(expiryPendingTasks, float64(globalExpiryState.PendingTasks()))
	}
	if globalTransitionState != nil {
		m.Set(transitionActiveTasks, float64(globalTransitionState.ActiveTasks()))
		m.Set(transitionPendingTasks, float64(globalTransitionState.PendingTasks()))
		m.Set(transitionMissedImmediateTasks, float64(globalTransitionState.MissedImmediateTasks()))
	}
	m.Set(versionsScanned, float64(globalScannerMetrics.lifetime(scannerMetricILM)))

		wg.Add(1)
		rng := rand.New(rand.NewSource(int64(i)))
		go func() {
			defer wg.Done()
			for range 100 {
				for range 100 {
					timeout.LogSuccess(time.Duration(float64(time.Second) * rng.Float64()))
				}
				to := timeout.Timeout()
				if to < time.Millisecond || to > time.Second {
					panic(to)
				}
			}
		}()
	}
	wg.Wait()
}

	m.Set(pluginAuthnServiceTotalRequestsMinute, float64(pluginAuthNMetrics.TotalRequests))
	lastSyncTime := atomic.LoadUint64(&globalIAMSys.LastRefreshTimeUnixNano)
	if lastSyncTime != 0 {
		m.Set(sinceLastSyncMillis, float64((uint64(time.Now().UnixNano())-lastSyncTime)/uint64(time.Millisecond)))
	}
	m.Set(syncFailures, float64(atomic.LoadUint64(&globalIAMSys.TotalRefreshFailures)))

* `le`: `l`ess than or `e`qual – kleiner oder gleich

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py39.py hl[10] *}

## Validierung von Zahlen: Floats, größer und kleiner

Zahlenvalidierung funktioniert auch für <abbr title="Kommazahl">`float`</abbr>-Werte.

    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Doubles.toArray(bytes)).isEqualTo(array);
    assertThat(Doubles.toArray(shorts)).isEqualTo(array);
    assertThat(Doubles.toArray(ints)).isEqualTo(array);
    assertThat(Doubles.toArray(floats)).isEqualTo(array);

	histBuckets := []float64{0.50, 5.00}
	labels := []string{"PutObject", "CopyObject"}
	ttfbHist := prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: histBuckets,
		},
		[]string{"api"},
	)
	observations := []struct {
		val   float64
		label string
	}{
		{

    }

    private static Float toFloat(final String s) {
        if (StringUtil.isEmpty(s)) {
            return null;
        }
        return Float.valueOf(DecimalFormatUtil.normalize(s));
    }

    /**
     * Converts to {@literal float}.
     *
     * @param o
     *            The object to convert
     * @return The converted {@literal float}
     */
    public static float toPrimitiveFloat(final Object o) {

    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Ints.toArray(bytes)).isEqualTo(array);
    assertThat(Ints.toArray(shorts)).isEqualTo(array);
    assertThat(Ints.toArray(ints)).isEqualTo(array);
    assertThat(Ints.toArray(floats)).isEqualTo(array);