}
		case int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64:
			vars[idx] = utils.ToString(v)
		case float32:
			vars[idx] = strconv.FormatFloat(float64(v), 'f', -1, 32)
		case float64:
			vars[idx] = strconv.FormatFloat(v, 'f', -1, 64)
		case string:
			vars[idx] = escaper + strings.ReplaceAll(v, escaper, escaper+escaper) + escaper
		default:
			rv := reflect.ValueOf(v)

				// callhome was disabled or context was canceled
				return
			}

			// callhome running on a different node.
			// sleep for some time and try again.
			duration := max(time.Duration(r.Float64()*float64(globalCallhomeConfig.FrequencyDur())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)
			time.Sleep(duration)
		}
	}()
}

		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 {

	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
	}{
		{

	ID      int64
	INT     int
	INT8    int8
	INT16   int16
	INT32   int32
	INT64   int64
	UINT    uint
	UINT8   uint8
	UINT16  uint16
	UINT32  uint32
	UINT64  uint64
	FLOAT32 float32
	FLOAT64 float64
	BOOL    bool
	STRING  string
	TIME    time.Time
	BYTES   []byte

	TypeAlias struct {
		ID
		INT     `gorm:"column:fint"`
		INT8    `gorm:"column:fint8"`
		INT16   `gorm:"column:fint16"`

		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedBytesMD(),
			Value:          float64(st.TotalSize),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedObjectsMD(),
			Value:          float64(st.NumObjects),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{

				}
				sendResult()
				break
			}

			// We break if we did not see 2.5% growth rate in total GET
			// requests, we have reached our peak at this point.
			doBreak := float64(totalGet-throughputHighestGet)/float64(totalGet) < 0.025

			throughputHighestGet = totalGet
			throughputHighestResults = results
			throughputHighestPut = totalPut

			if doBreak {
				sendResult()
				break
			}

	expFailure := 5
	for range expSuccess {
		globalTierMetrics.logSuccess(tier)
	}
	for range expFailure {
		globalTierMetrics.logFailure(tier)
	}
	metrics := globalTierMetrics.Report()
	var succ, fail float64
	for _, metric := range metrics {
		switch metric.Description.Name {
		case tierRequestsSuccess:
			succ += metric.Value
		case tierRequestsFailure:
			fail += metric.Value
		}
	}
	if int(succ) != expSuccess {

	// This goroutine owns the cache.
	var saverWg sync.WaitGroup
	saverWg.Add(1)
	go func() {
		// Add jitter to the update time so multiple sets don't sync up.
		updateTime := 30*time.Second + time.Duration(float64(10*time.Second)*rand.Float64())
		t := time.NewTicker(updateTime)
		defer t.Stop()
		defer saverWg.Done()
		var lastSave time.Time

		for {
			select {
			case <-t.C:
				if cache.Info.LastUpdate.Equal(lastSave) {

		metrics = append(metrics, MetricV2{
			Description:    tierRequestsSuccessMD,
			Value:          float64(stat.success),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    tierRequestsFailureMD,
			Value:          float64(stat.failure),
			VariableLabels: map[string]string{"tier": tier},
		})
	}
	return metrics
}