mirror of
https://github.com/octoleo/syncthing.git
synced 2024-11-20 11:55:18 +00:00
312 lines
8.1 KiB
Go
312 lines
8.1 KiB
Go
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package metrics
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import (
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"sync"
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"time"
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)
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// Timers capture the duration and rate of events.
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type Timer interface {
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Count() int64
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Max() int64
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Mean() float64
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Min() int64
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Percentile(float64) float64
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Percentiles([]float64) []float64
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Rate1() float64
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Rate5() float64
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Rate15() float64
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RateMean() float64
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Snapshot() Timer
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StdDev() float64
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Sum() int64
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Time(func())
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Update(time.Duration)
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UpdateSince(time.Time)
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Variance() float64
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}
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// GetOrRegisterTimer returns an existing Timer or constructs and registers a
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// new StandardTimer.
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func GetOrRegisterTimer(name string, r Registry) Timer {
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if nil == r {
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r = DefaultRegistry
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}
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return r.GetOrRegister(name, NewTimer).(Timer)
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}
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// NewCustomTimer constructs a new StandardTimer from a Histogram and a Meter.
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func NewCustomTimer(h Histogram, m Meter) Timer {
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if UseNilMetrics {
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return NilTimer{}
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}
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return &StandardTimer{
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histogram: h,
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meter: m,
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}
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}
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// NewRegisteredTimer constructs and registers a new StandardTimer.
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func NewRegisteredTimer(name string, r Registry) Timer {
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c := NewTimer()
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if nil == r {
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r = DefaultRegistry
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}
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r.Register(name, c)
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return c
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}
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// NewTimer constructs a new StandardTimer using an exponentially-decaying
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// sample with the same reservoir size and alpha as UNIX load averages.
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func NewTimer() Timer {
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if UseNilMetrics {
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return NilTimer{}
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}
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return &StandardTimer{
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histogram: NewHistogram(NewExpDecaySample(1028, 0.015)),
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meter: NewMeter(),
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}
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}
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// NilTimer is a no-op Timer.
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type NilTimer struct {
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h Histogram
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m Meter
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}
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// Count is a no-op.
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func (NilTimer) Count() int64 { return 0 }
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// Max is a no-op.
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func (NilTimer) Max() int64 { return 0 }
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// Mean is a no-op.
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func (NilTimer) Mean() float64 { return 0.0 }
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// Min is a no-op.
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func (NilTimer) Min() int64 { return 0 }
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// Percentile is a no-op.
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func (NilTimer) Percentile(p float64) float64 { return 0.0 }
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// Percentiles is a no-op.
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func (NilTimer) Percentiles(ps []float64) []float64 {
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return make([]float64, len(ps))
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}
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// Rate1 is a no-op.
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func (NilTimer) Rate1() float64 { return 0.0 }
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// Rate5 is a no-op.
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func (NilTimer) Rate5() float64 { return 0.0 }
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// Rate15 is a no-op.
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func (NilTimer) Rate15() float64 { return 0.0 }
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// RateMean is a no-op.
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func (NilTimer) RateMean() float64 { return 0.0 }
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// Snapshot is a no-op.
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func (NilTimer) Snapshot() Timer { return NilTimer{} }
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// StdDev is a no-op.
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func (NilTimer) StdDev() float64 { return 0.0 }
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// Sum is a no-op.
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func (NilTimer) Sum() int64 { return 0 }
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// Time is a no-op.
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func (NilTimer) Time(func()) {}
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// Update is a no-op.
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func (NilTimer) Update(time.Duration) {}
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// UpdateSince is a no-op.
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func (NilTimer) UpdateSince(time.Time) {}
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// Variance is a no-op.
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func (NilTimer) Variance() float64 { return 0.0 }
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// StandardTimer is the standard implementation of a Timer and uses a Histogram
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// and Meter.
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type StandardTimer struct {
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histogram Histogram
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meter Meter
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mutex sync.Mutex
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}
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// Count returns the number of events recorded.
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func (t *StandardTimer) Count() int64 {
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return t.histogram.Count()
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}
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// Max returns the maximum value in the sample.
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func (t *StandardTimer) Max() int64 {
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return t.histogram.Max()
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}
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// Mean returns the mean of the values in the sample.
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func (t *StandardTimer) Mean() float64 {
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return t.histogram.Mean()
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}
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// Min returns the minimum value in the sample.
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func (t *StandardTimer) Min() int64 {
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return t.histogram.Min()
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}
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// Percentile returns an arbitrary percentile of the values in the sample.
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func (t *StandardTimer) Percentile(p float64) float64 {
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return t.histogram.Percentile(p)
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}
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// Percentiles returns a slice of arbitrary percentiles of the values in the
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// sample.
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func (t *StandardTimer) Percentiles(ps []float64) []float64 {
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return t.histogram.Percentiles(ps)
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}
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// Rate1 returns the one-minute moving average rate of events per second.
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func (t *StandardTimer) Rate1() float64 {
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return t.meter.Rate1()
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}
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// Rate5 returns the five-minute moving average rate of events per second.
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func (t *StandardTimer) Rate5() float64 {
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return t.meter.Rate5()
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}
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// Rate15 returns the fifteen-minute moving average rate of events per second.
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func (t *StandardTimer) Rate15() float64 {
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return t.meter.Rate15()
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}
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// RateMean returns the meter's mean rate of events per second.
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func (t *StandardTimer) RateMean() float64 {
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return t.meter.RateMean()
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}
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// Snapshot returns a read-only copy of the timer.
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func (t *StandardTimer) Snapshot() Timer {
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t.mutex.Lock()
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defer t.mutex.Unlock()
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return &TimerSnapshot{
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histogram: t.histogram.Snapshot().(*HistogramSnapshot),
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meter: t.meter.Snapshot().(*MeterSnapshot),
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}
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}
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// StdDev returns the standard deviation of the values in the sample.
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func (t *StandardTimer) StdDev() float64 {
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return t.histogram.StdDev()
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}
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// Sum returns the sum in the sample.
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func (t *StandardTimer) Sum() int64 {
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return t.histogram.Sum()
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}
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// Record the duration of the execution of the given function.
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func (t *StandardTimer) Time(f func()) {
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ts := time.Now()
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f()
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t.Update(time.Since(ts))
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}
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// Record the duration of an event.
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func (t *StandardTimer) Update(d time.Duration) {
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t.mutex.Lock()
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defer t.mutex.Unlock()
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t.histogram.Update(int64(d))
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t.meter.Mark(1)
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}
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// Record the duration of an event that started at a time and ends now.
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func (t *StandardTimer) UpdateSince(ts time.Time) {
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t.mutex.Lock()
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defer t.mutex.Unlock()
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t.histogram.Update(int64(time.Since(ts)))
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t.meter.Mark(1)
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}
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// Variance returns the variance of the values in the sample.
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func (t *StandardTimer) Variance() float64 {
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return t.histogram.Variance()
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}
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// TimerSnapshot is a read-only copy of another Timer.
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type TimerSnapshot struct {
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histogram *HistogramSnapshot
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meter *MeterSnapshot
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}
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// Count returns the number of events recorded at the time the snapshot was
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// taken.
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func (t *TimerSnapshot) Count() int64 { return t.histogram.Count() }
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// Max returns the maximum value at the time the snapshot was taken.
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func (t *TimerSnapshot) Max() int64 { return t.histogram.Max() }
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// Mean returns the mean value at the time the snapshot was taken.
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func (t *TimerSnapshot) Mean() float64 { return t.histogram.Mean() }
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// Min returns the minimum value at the time the snapshot was taken.
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func (t *TimerSnapshot) Min() int64 { return t.histogram.Min() }
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// Percentile returns an arbitrary percentile of sampled values at the time the
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// snapshot was taken.
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func (t *TimerSnapshot) Percentile(p float64) float64 {
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return t.histogram.Percentile(p)
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}
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// Percentiles returns a slice of arbitrary percentiles of sampled values at
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// the time the snapshot was taken.
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func (t *TimerSnapshot) Percentiles(ps []float64) []float64 {
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return t.histogram.Percentiles(ps)
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}
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// Rate1 returns the one-minute moving average rate of events per second at the
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// time the snapshot was taken.
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func (t *TimerSnapshot) Rate1() float64 { return t.meter.Rate1() }
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// Rate5 returns the five-minute moving average rate of events per second at
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// the time the snapshot was taken.
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func (t *TimerSnapshot) Rate5() float64 { return t.meter.Rate5() }
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// Rate15 returns the fifteen-minute moving average rate of events per second
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// at the time the snapshot was taken.
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func (t *TimerSnapshot) Rate15() float64 { return t.meter.Rate15() }
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// RateMean returns the meter's mean rate of events per second at the time the
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// snapshot was taken.
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func (t *TimerSnapshot) RateMean() float64 { return t.meter.RateMean() }
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// Snapshot returns the snapshot.
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func (t *TimerSnapshot) Snapshot() Timer { return t }
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// StdDev returns the standard deviation of the values at the time the snapshot
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// was taken.
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func (t *TimerSnapshot) StdDev() float64 { return t.histogram.StdDev() }
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// Sum returns the sum at the time the snapshot was taken.
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func (t *TimerSnapshot) Sum() int64 { return t.histogram.Sum() }
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// Time panics.
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func (*TimerSnapshot) Time(func()) {
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panic("Time called on a TimerSnapshot")
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}
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// Update panics.
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func (*TimerSnapshot) Update(time.Duration) {
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panic("Update called on a TimerSnapshot")
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}
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// UpdateSince panics.
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func (*TimerSnapshot) UpdateSince(time.Time) {
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panic("UpdateSince called on a TimerSnapshot")
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}
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// Variance returns the variance of the values at the time the snapshot was
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// taken.
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func (t *TimerSnapshot) Variance() float64 { return t.histogram.Variance() }
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