}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{
			Avg:  savg / float64(count),
			Curr: scurr / float64(count),
			Peak: speak,
		}
		qs.XferStats[Large] = lrg
		qs.XferStats[Small] = sml
		qs.XferStats[Total] = XferStats{
			Avg:  (savg + lavg) / float64(count),
			Curr: (lcurr + scurr) / float64(count),

			case uint:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint8:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint16:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint32:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint64:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case []byte:

			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"},
	)

		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() {

					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")
					b.ReportMetric(latency/float64(ops), "ms/op")
				}
			})
		}
	})
	b.Run("rpc", func(b *testing.B) {
		for par := 1; par <= 32; par *= 2 {

func FromArray(a []Value) *Value {
	return &Value{value: a}
}

// ToFloat works for int and float values
func (v Value) ToFloat() (val float64, ok bool) {
	switch x := v.value.(type) {
	case float64:
		return x, true
	case int64:
		return float64(x), true
	}
	return 0, false
}

// ToInt returns the value if int.
func (v Value) ToInt() (val int64, ok bool) {
	val, ok = v.value.(int64)

	}
}

// Metrics contains metrics about the authentication plugin service.
type Metrics struct {
	LastReachableSecs, LastUnreachableSecs float64

	// Last whole minute stats
	TotalRequests, FailedRequests int64
	AvgSuccRTTMs                  float64
	MaxSuccRTTMs                  float64
}

// Metrics reports metrics related to plugin service reachability and stats for the last whole minute

// float32 is the set of all IEEE 754 32-bit floating-point numbers.
type float32 float32

// float64 is the set of all IEEE 754 64-bit floating-point numbers.
type float64 float64

// complex64 is the set of all complex numbers with float32 real and
// imaginary parts.
type complex64 complex64

// complex128 is the set of all complex numbers with float64 real and
// imaginary parts.
type complex128 complex128

	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"`