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https://github.com/ethereum/go-ethereum.git
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metrics: split up resetting timer interface
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parent
7b9dfc72c1
commit
73687d9a60
2 changed files with 67 additions and 115 deletions
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@ -121,7 +121,7 @@ func (c *collector) addTimer(name string, m metrics.TimerSnapshot) {
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c.buff.WriteRune('\n')
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}
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func (c *collector) addResettingTimer(name string, m metrics.ResettingTimer) {
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func (c *collector) addResettingTimer(name string, m metrics.ResettingTimerSnapshot) {
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if len(m.Values()) <= 0 {
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return
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}
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@ -11,12 +11,15 @@ import (
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// Initial slice capacity for the values stored in a ResettingTimer
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const InitialResettingTimerSliceCap = 10
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type ResettingTimerSnapshot interface {
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Values() []int64
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Mean() float64
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Percentiles([]float64) []int64
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}
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// ResettingTimer is used for storing aggregated values for timers, which are reset on every flush interval.
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type ResettingTimer interface {
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Values() []int64
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Snapshot() ResettingTimer
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Percentiles([]float64) []int64
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Mean() float64
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Snapshot() ResettingTimerSnapshot
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Time(func())
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Update(time.Duration)
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UpdateSince(time.Time)
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@ -52,37 +55,15 @@ func NewResettingTimer() ResettingTimer {
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}
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// NilResettingTimer is a no-op ResettingTimer.
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type NilResettingTimer struct {
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}
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type NilResettingTimer struct{}
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// Values is a no-op.
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func (NilResettingTimer) Values() []int64 { return nil }
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// Snapshot is a no-op.
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func (NilResettingTimer) Snapshot() ResettingTimer {
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return &ResettingTimerSnapshot{
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values: []int64{},
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}
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}
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// Time is a no-op.
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func (NilResettingTimer) Time(f func()) { f() }
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// Update is a no-op.
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func (NilResettingTimer) Update(time.Duration) {}
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// Percentiles panics.
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func (NilResettingTimer) Percentiles([]float64) []int64 {
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panic("Percentiles called on a NilResettingTimer")
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}
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// Mean panics.
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func (NilResettingTimer) Mean() float64 {
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panic("Mean called on a NilResettingTimer")
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}
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// UpdateSince is a no-op.
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func (NilResettingTimer) UpdateSince(time.Time) {}
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func (NilResettingTimer) Values() []int64 { return nil }
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func (n NilResettingTimer) Snapshot() ResettingTimerSnapshot { return n }
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func (NilResettingTimer) Time(f func()) { f() }
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func (NilResettingTimer) Update(time.Duration) {}
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func (NilResettingTimer) Percentiles([]float64) []int64 { return nil }
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func (NilResettingTimer) Mean() float64 { return 0.0 }
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func (NilResettingTimer) UpdateSince(time.Time) {}
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// StandardResettingTimer is the standard implementation of a ResettingTimer.
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// and Meter.
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@ -91,33 +72,23 @@ type StandardResettingTimer struct {
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mutex sync.Mutex
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}
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// Values returns a slice with all measurements.
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func (t *StandardResettingTimer) Values() []int64 {
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return t.values
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}
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//// Values returns a slice with all measurements.
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//func (t *StandardResettingTimer) Values() []int64 {
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// return t.values
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//}
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// Snapshot resets the timer and returns a read-only copy of its contents.
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func (t *StandardResettingTimer) Snapshot() ResettingTimer {
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func (t *StandardResettingTimer) Snapshot() ResettingTimerSnapshot {
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t.mutex.Lock()
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defer t.mutex.Unlock()
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currentValues := t.values
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t.values = make([]int64, 0, InitialResettingTimerSliceCap)
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return &ResettingTimerSnapshot{
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return &resettingTimerSnapshot{
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values: currentValues,
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}
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}
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// Percentiles panics.
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func (t *StandardResettingTimer) Percentiles([]float64) []int64 {
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panic("Percentiles called on a StandardResettingTimer")
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}
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// Mean panics.
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func (t *StandardResettingTimer) Mean() float64 {
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panic("Mean called on a StandardResettingTimer")
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}
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// Record the duration of the execution of the given function.
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func (t *StandardResettingTimer) Time(f func()) {
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ts := time.Now()
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@ -139,46 +110,29 @@ func (t *StandardResettingTimer) UpdateSince(ts time.Time) {
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t.values = append(t.values, int64(time.Since(ts)))
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}
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// ResettingTimerSnapshot is a point-in-time copy of another ResettingTimer.
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type ResettingTimerSnapshot struct {
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// resettingTimerSnapshot is a point-in-time copy of another ResettingTimer.
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type resettingTimerSnapshot struct {
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values []int64
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mean float64
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thresholdBoundaries []int64
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calculated bool
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}
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// Snapshot returns the snapshot.
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func (t *ResettingTimerSnapshot) Snapshot() ResettingTimer { return t }
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// Time panics.
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func (*ResettingTimerSnapshot) Time(func()) {
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panic("Time called on a ResettingTimerSnapshot")
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}
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// Update panics.
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func (*ResettingTimerSnapshot) Update(time.Duration) {
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panic("Update called on a ResettingTimerSnapshot")
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}
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// UpdateSince panics.
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func (*ResettingTimerSnapshot) UpdateSince(time.Time) {
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panic("UpdateSince called on a ResettingTimerSnapshot")
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}
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// Values returns all values from snapshot.
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func (t *ResettingTimerSnapshot) Values() []int64 {
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func (t *resettingTimerSnapshot) Values() []int64 {
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return t.values
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}
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// Percentiles returns the boundaries for the input percentiles.
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func (t *ResettingTimerSnapshot) Percentiles(percentiles []float64) []int64 {
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// note: this method is not thread safe
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func (t *resettingTimerSnapshot) Percentiles(percentiles []float64) []int64 {
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t.calc(percentiles)
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return t.thresholdBoundaries
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}
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// Mean returns the mean of the snapshotted values
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func (t *ResettingTimerSnapshot) Mean() float64 {
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// note: this method is not thread safe
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func (t *resettingTimerSnapshot) Mean() float64 {
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if !t.calculated {
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t.calc([]float64{})
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}
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@ -186,50 +140,48 @@ func (t *ResettingTimerSnapshot) Mean() float64 {
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return t.mean
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}
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func (t *ResettingTimerSnapshot) calc(percentiles []float64) {
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func (t *resettingTimerSnapshot) calc(percentiles []float64) {
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slices.Sort(t.values)
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count := len(t.values)
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if count > 0 {
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min := t.values[0]
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max := t.values[count-1]
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cumulativeValues := make([]int64, count)
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cumulativeValues[0] = min
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for i := 1; i < count; i++ {
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cumulativeValues[i] = t.values[i] + cumulativeValues[i-1]
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}
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t.thresholdBoundaries = make([]int64, len(percentiles))
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thresholdBoundary := max
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for i, pct := range percentiles {
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if count > 1 {
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var abs float64
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if pct >= 0 {
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abs = pct
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} else {
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abs = 100 + pct
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}
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// poor man's math.Round(x):
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// math.Floor(x + 0.5)
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indexOfPerc := int(math.Floor(((abs / 100.0) * float64(count)) + 0.5))
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if pct >= 0 && indexOfPerc > 0 {
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indexOfPerc -= 1 // index offset=0
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}
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thresholdBoundary = t.values[indexOfPerc]
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}
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t.thresholdBoundaries[i] = thresholdBoundary
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}
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sum := cumulativeValues[count-1]
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t.mean = float64(sum) / float64(count)
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} else {
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if count == 0 {
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t.thresholdBoundaries = make([]int64, len(percentiles))
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t.mean = 0
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t.calculated = true
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return
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}
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min := t.values[0]
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max := t.values[count-1]
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cumulativeValues := make([]int64, count)
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cumulativeValues[0] = min
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for i := 1; i < count; i++ {
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cumulativeValues[i] = t.values[i] + cumulativeValues[i-1]
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}
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t.calculated = true
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t.thresholdBoundaries = make([]int64, len(percentiles))
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thresholdBoundary := max
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for i, pct := range percentiles {
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if count > 1 {
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var abs float64
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if pct >= 0 {
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abs = pct
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} else {
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abs = 100 + pct
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}
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// poor man's math.Round(x):
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// math.Floor(x + 0.5)
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indexOfPerc := int(math.Floor(((abs / 100.0) * float64(count)) + 0.5))
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if pct >= 0 && indexOfPerc > 0 {
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indexOfPerc -= 1 // index offset=0
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}
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thresholdBoundary = t.values[indexOfPerc]
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}
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t.thresholdBoundaries[i] = thresholdBoundary
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}
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sum := cumulativeValues[count-1]
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t.mean = float64(sum) / float64(count)
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}
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