func SeatsTimesDuration(seats float64, duration time.Duration) SeatSeconds {
	return SeatSeconds(int64(math.Round(seats * float64(duration/time.Nanosecond) / (1e9 / ssScale))))
}

// ToFloat converts to a floating-point representation.
// This conversion may lose precision.
func (ss SeatSeconds) ToFloat() float64 {
	return float64(ss) / ssScale
}

// DurationPerSeat returns duration per seat.

			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api", "bucket"},
	)

	// These are produced by the simulation, so int64 and
	// float64 are more appropriate, so that we can check for
	// bad states in the simulation.
	heapScannable int64
	gcUtilization float64
}

func (r *gcCycleResult) goalRatio() float64 {
	return float64(r.heapPeak) / float64(r.heapGoal)
}

func (r *gcCycleResult) runway() float64 {
	return float64(r.heapGoal - r.heapTrigger)
}

	float64(0.6047654075331631),  // Float64()
	float64(0.9278107175107462),  // Float64()
	float64(0.16387541502137226), // Float64()
	float64(0.7263900707339023),  // Float64()
	float64(0.6974917552729882),  // Float64()
	float64(0.7640946923790318),  // Float64()
	float64(0.7188183661358182),  // Float64()
	float64(0.5856191500346635),  // Float64()
	float64(0.9549597149363428),  // Float64()

//
// Special cases are:
//
//	Ldexp(±0, exp) = ±0
//	Ldexp(±Inf, exp) = ±Inf
//	Ldexp(NaN, exp) = NaN
func Ldexp(frac float64, exp int) float64 {
	if haveArchLdexp {
		return archLdexp(frac, exp)
	}
	return ldexp(frac, exp)
}

func ldexp(frac float64, exp int) float64 {
	// special cases
	switch {
	case frac == 0:
		return frac // correctly return -0
	case IsInf(frac, 0) || IsNaN(frac):
		return frac

	if s.CPU == nil || s.CPU.UsageCoreNanoSeconds == nil {
		return
	}

	ch <- metrics.NewLazyMetricWithTimestamp(s.CPU.Time.Time,
		metrics.NewLazyConstMetric(nodeCPUUsageDesc, metrics.CounterValue, float64(*s.CPU.UsageCoreNanoSeconds)/float64(time.Second)))
}

func (rc *resourceMetricsCollector) collectNodeMemoryMetrics(ch chan<- metrics.Metric, s summary.NodeStats) {
	if s.Memory == nil || s.Memory.WorkingSetBytes == nil {
		return
	}

					m.Set(bucketReplProxiedHeadRequestsTotal, float64(s.ProxyStats.HeadTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsFailures, float64(s.ProxyStats.PutTagFailedTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsTotal, float64(s.ProxyStats.PutTagTotal), labels...)
					m.Set(bucketReplSentCount, float64(stat.ReplicatedCount), labels...)

package math

const haveArchFloor = false

func archFloor(x float64) float64 {
	panic("not implemented")
}

const haveArchCeil = false

func archCeil(x float64) float64 {
	panic("not implemented")
}

const haveArchTrunc = false

func archTrunc(x float64) float64 {
	panic("not implemented")

		Peak:    peak,
		Curr:    curr,
		measure: rx.measure,
		N:       rx.N + o.N,
	}
}

func calcAvg(x, y float64, n1, n2 int64) float64 {
	if n1+n2 == 0 {
		return 0
	}
	avg := (x*float64(n1) + y*float64(n2)) / float64(n1+n2)
	return avg
}

// Add a new transfer
func (rx *XferStats) addSize(sz int64, t time.Duration) {
	if rx.measure == nil {

	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values
	// helps in calculating the current value by comparing the new
	// cumulative value with previous one
	Cumulative float64

	Max   float64
	Avg   float64
	Sum   float64
	Count uint64
}

func init() {