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This file was never truly necessary and has never actually been used in the history of Tailscale's open source releases. A Brief History of AUTHORS files --- The AUTHORS file was a pattern developed at Google, originally for Chromium, then adopted by Go and a bunch of other projects. The problem was that Chromium originally had a copyright line only recognizing Google as the copyright holder. Because Google (and most open source projects) do not require copyright assignemnt for contributions, each contributor maintains their copyright. Some large corporate contributors then tried to add their own name to the copyright line in the LICENSE file or in file headers. This quickly becomes unwieldy, and puts a tremendous burden on anyone building on top of Chromium, since the license requires that they keep all copyright lines intact. The compromise was to create an AUTHORS file that would list all of the copyright holders. The LICENSE file and source file headers would then include that list by reference, listing the copyright holder as "The Chromium Authors". This also become cumbersome to simply keep the file up to date with a high rate of new contributors. Plus it's not always obvious who the copyright holder is. Sometimes it is the individual making the contribution, but many times it may be their employer. There is no way for the proejct maintainer to know. Eventually, Google changed their policy to no longer recommend trying to keep the AUTHORS file up to date proactively, and instead to only add to it when requested: https://opensource.google/docs/releasing/authors. They are also clear that: > Adding contributors to the AUTHORS file is entirely within the > project's discretion and has no implications for copyright ownership. It was primarily added to appease a small number of large contributors that insisted that they be recognized as copyright holders (which was entirely their right to do). But it's not truly necessary, and not even the most accurate way of identifying contributors and/or copyright holders. In practice, we've never added anyone to our AUTHORS file. It only lists Tailscale, so it's not really serving any purpose. It also causes confusion because Tailscalars put the "Tailscale Inc & AUTHORS" header in other open source repos which don't actually have an AUTHORS file, so it's ambiguous what that means. Instead, we just acknowledge that the contributors to Tailscale (whoever they are) are copyright holders for their individual contributions. We also have the benefit of using the DCO (developercertificate.org) which provides some additional certification of their right to make the contribution. The source file changes were purely mechanical with: git ls-files | xargs sed -i -e 's/\(Tailscale Inc &\) AUTHORS/\1 contributors/g' Updates #cleanup Change-Id: Ia101a4a3005adb9118051b3416f5a64a4a45987d Signed-off-by: Will Norris <will@tailscale.com>
262 lines
7.4 KiB
Go
262 lines
7.4 KiB
Go
// Copyright (c) Tailscale Inc & contributors
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// SPDX-License-Identifier: BSD-3-Clause
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package rate
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import (
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"flag"
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"math"
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"reflect"
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"testing"
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"time"
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qt "github.com/frankban/quicktest"
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"github.com/google/go-cmp/cmp/cmpopts"
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"tailscale.com/tstime/mono"
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"tailscale.com/util/must"
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)
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const (
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min = mono.Time(time.Minute)
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sec = mono.Time(time.Second)
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msec = mono.Time(time.Millisecond)
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usec = mono.Time(time.Microsecond)
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nsec = mono.Time(time.Nanosecond)
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val = 1.0e6
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)
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var longNumericalStabilityTest = flag.Bool("long-numerical-stability-test", false, "")
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func TestValue(t *testing.T) {
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// When performing many small calculations, the accuracy of the
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// result can drift due to accumulated errors in the calculation.
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// Verify that the result is correct even with many small updates.
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// See https://en.wikipedia.org/wiki/Numerical_stability.
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t.Run("NumericalStability", func(t *testing.T) {
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step := usec
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if *longNumericalStabilityTest {
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step = nsec
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}
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numStep := int(sec / step)
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c := qt.New(t)
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var v Value
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var now mono.Time
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for range numStep {
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v.addNow(now, float64(step))
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now += step
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}
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c.Assert(v.rateNow(now), qt.CmpEquals(cmpopts.EquateApprox(1e-6, 0)), 1e9/2)
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})
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halfLives := []struct {
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name string
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period time.Duration
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}{
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{"½s", time.Second / 2},
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{"1s", time.Second},
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{"2s", 2 * time.Second},
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}
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for _, halfLife := range halfLives {
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t.Run(halfLife.name+"/SpikeDecay", func(t *testing.T) {
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testValueSpikeDecay(t, halfLife.period, false)
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})
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t.Run(halfLife.name+"/SpikeDecayAddZero", func(t *testing.T) {
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testValueSpikeDecay(t, halfLife.period, true)
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})
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t.Run(halfLife.name+"/HighThenLow", func(t *testing.T) {
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testValueHighThenLow(t, halfLife.period)
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})
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t.Run(halfLife.name+"/LowFrequency", func(t *testing.T) {
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testLowFrequency(t, halfLife.period)
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})
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}
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}
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// testValueSpikeDecay starts with a target rate and ensure that it
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// exponentially decays according to the half-life formula.
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func testValueSpikeDecay(t *testing.T, halfLife time.Duration, addZero bool) {
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c := qt.New(t)
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v := Value{HalfLife: halfLife}
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v.addNow(0, val*v.normalizedIntegral())
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var now mono.Time
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var prevRate float64
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step := 100 * msec
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wantHalfRate := float64(val)
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for now < 10*sec {
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// Adding zero for every time-step will repeatedly trigger the
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// computation to decay the value, which may cause the result
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// to become more numerically unstable.
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if addZero {
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v.addNow(now, 0)
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}
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currRate := v.rateNow(now)
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t.Logf("%0.1fs:\t%0.3f", time.Duration(now).Seconds(), currRate)
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// At every multiple of a half-life period,
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// the current rate should be half the value of what
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// it was at the last half-life period.
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if time.Duration(now)%halfLife == 0 {
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c.Assert(currRate, qt.CmpEquals(cmpopts.EquateApprox(1e-12, 0)), wantHalfRate)
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wantHalfRate = currRate / 2
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}
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// Without any newly added events,
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// the rate should be decaying over time.
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if now > 0 && prevRate < currRate {
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t.Errorf("%v: rate is not decaying: %0.1f < %0.1f", time.Duration(now), prevRate, currRate)
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}
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if currRate < 0 {
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t.Errorf("%v: rate too low: %0.1f < %0.1f", time.Duration(now), currRate, 0.0)
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}
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prevRate = currRate
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now += step
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}
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}
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// testValueHighThenLow targets a steady-state rate that is high,
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// then switches to a target steady-state rate that is low.
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func testValueHighThenLow(t *testing.T, halfLife time.Duration) {
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c := qt.New(t)
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v := Value{HalfLife: halfLife}
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var now mono.Time
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var prevRate float64
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var wantRate float64
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const step = 10 * msec
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const stepsPerSecond = int(sec / step)
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// Target a higher steady-state rate.
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wantRate = 2 * val
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wantHalfRate := float64(0.0)
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eventsPerStep := wantRate / float64(stepsPerSecond)
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for now < 10*sec {
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currRate := v.rateNow(now)
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v.addNow(now, eventsPerStep)
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t.Logf("%0.1fs:\t%0.3f", time.Duration(now).Seconds(), currRate)
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// At every multiple of a half-life period,
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// the current rate should be half-way more towards
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// the target rate relative to before.
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if time.Duration(now)%halfLife == 0 {
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c.Assert(currRate, qt.CmpEquals(cmpopts.EquateApprox(0.1, 0)), wantHalfRate)
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wantHalfRate += (wantRate - currRate) / 2
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}
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// Rate should approach wantRate from below,
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// but never exceed it.
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if now > 0 && prevRate > currRate {
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t.Errorf("%v: rate is not growing: %0.1f > %0.1f", time.Duration(now), prevRate, currRate)
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}
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if currRate > 1.01*wantRate {
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t.Errorf("%v: rate too high: %0.1f > %0.1f", time.Duration(now), currRate, wantRate)
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}
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prevRate = currRate
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now += step
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}
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c.Assert(prevRate, qt.CmpEquals(cmpopts.EquateApprox(0.05, 0)), wantRate)
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// Target a lower steady-state rate.
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wantRate = val / 3
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wantHalfRate = prevRate
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eventsPerStep = wantRate / float64(stepsPerSecond)
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for now < 20*sec {
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currRate := v.rateNow(now)
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v.addNow(now, eventsPerStep)
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t.Logf("%0.1fs:\t%0.3f", time.Duration(now).Seconds(), currRate)
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// At every multiple of a half-life period,
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// the current rate should be half-way more towards
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// the target rate relative to before.
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if time.Duration(now)%halfLife == 0 {
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c.Assert(currRate, qt.CmpEquals(cmpopts.EquateApprox(0.1, 0)), wantHalfRate)
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wantHalfRate += (wantRate - currRate) / 2
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}
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// Rate should approach wantRate from above,
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// but never exceed it.
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if now > 10*sec && prevRate < currRate {
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t.Errorf("%v: rate is not decaying: %0.1f < %0.1f", time.Duration(now), prevRate, currRate)
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}
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if currRate < 0.99*wantRate {
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t.Errorf("%v: rate too low: %0.1f < %0.1f", time.Duration(now), currRate, wantRate)
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}
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prevRate = currRate
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now += step
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}
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c.Assert(prevRate, qt.CmpEquals(cmpopts.EquateApprox(0.15, 0)), wantRate)
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}
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// testLowFrequency fires an event at a frequency much slower than
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// the specified half-life period. While the average rate over time
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// should be accurate, the standard deviation gets worse.
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func testLowFrequency(t *testing.T, halfLife time.Duration) {
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v := Value{HalfLife: halfLife}
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var now mono.Time
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var rates []float64
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for now < 20*min {
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if now%(10*sec) == 0 {
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v.addNow(now, 1) // 1 event every 10 seconds
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}
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now += 50 * msec
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rates = append(rates, v.rateNow(now))
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now += 50 * msec
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}
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mean, stddev := stats(rates)
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c := qt.New(t)
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c.Assert(mean, qt.CmpEquals(cmpopts.EquateApprox(0.001, 0)), 0.1)
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t.Logf("mean:%v stddev:%v", mean, stddev)
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}
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func stats(fs []float64) (mean, stddev float64) {
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for _, rate := range fs {
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mean += rate
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}
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mean /= float64(len(fs))
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for _, rate := range fs {
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stddev += (rate - mean) * (rate - mean)
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}
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stddev = math.Sqrt(stddev / float64(len(fs)))
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return mean, stddev
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}
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// BenchmarkValue benchmarks the cost of Value.Add,
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// which is called often and makes extensive use of floating-point math.
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func BenchmarkValue(b *testing.B) {
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b.ReportAllocs()
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v := Value{HalfLife: time.Second}
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for range b.N {
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v.Add(1)
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}
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}
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func TestValueMarshal(t *testing.T) {
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now := mono.Now()
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tests := []struct {
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val *Value
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str string
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}{
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{val: &Value{}, str: `{}`},
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{val: &Value{HalfLife: 5 * time.Minute}, str: `{"halfLife":"` + (5 * time.Minute).String() + `"}`},
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{val: &Value{value: 12345, updated: now}, str: `{"value":12345,"updated":` + string(must.Get(now.MarshalJSON())) + `}`},
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}
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for _, tt := range tests {
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str := string(must.Get(tt.val.MarshalJSON()))
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if str != tt.str {
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t.Errorf("string mismatch: got %v, want %v", str, tt.str)
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}
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var val Value
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must.Do(val.UnmarshalJSON([]byte(str)))
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if !reflect.DeepEqual(&val, tt.val) {
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t.Errorf("value mismatch: %+v, want %+v", &val, tt.val)
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}
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}
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}
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