tracker/stats/percentile_test.go

94 lines
2 KiB
Go

package stats
import (
"math"
"math/rand"
"sort"
"testing"
"time"
)
func TestPercentiles(t *testing.T) {
rand.Seed(time.Now().Unix())
testSlice(t, uniform(10000, 1), 0.5)
testSlice(t, uniform(10000, 1), 0.9)
testSlice(t, uniform(10000, 10000), 0.5)
testSlice(t, uniform(10000, 10000), 0.9)
}
func TestLogNormPercentiles(t *testing.T) {
rand.Seed(time.Now().Unix())
testSlice(t, logNorm(10000, 1), 0.5)
testSlice(t, logNorm(10000, 1), 0.9)
}
func uniform(n int, scale float64) sort.Float64Slice {
numbers := make(sort.Float64Slice, n)
for i := 0; i < n; i++ {
numbers[i] = rand.Float64() * scale
}
return numbers
}
func logNorm(n int, scale float64) sort.Float64Slice {
numbers := make(sort.Float64Slice, n)
for i := 0; i < n; i++ {
numbers[i] = math.Exp(rand.NormFloat64()) * scale
}
return numbers
}
func testSlice(t *testing.T, numbers sort.Float64Slice, percentile float64) {
p := NewPercentile(percentile, 256)
for i := 0; i < len(numbers); i++ {
p.AddSample(numbers[i])
}
sort.Sort(numbers)
got := p.Value()
expected := numbers[round(float64(len(numbers))*percentile)]
if got != expected {
t.Errorf("Percentile incorrect\n actual: %f\nexpected: %f\n error: %f%%\n", got, expected, (got-expected)/expected*100)
}
}
func BenchmarkPercentiles64(b *testing.B) {
benchmarkSlice(b, uniform(b.N, 1), 64, 0.5)
}
func BenchmarkPercentiles128(b *testing.B) {
benchmarkSlice(b, uniform(b.N, 1), 128, 0.5)
}
func BenchmarkPercentiles256(b *testing.B) {
benchmarkSlice(b, uniform(b.N, 1), 256, 0.5)
}
func BenchmarkPercentiles512(b *testing.B) {
benchmarkSlice(b, uniform(b.N, 1), 512, 0.5)
}
func BenchmarkLNPercentiles128(b *testing.B) {
benchmarkSlice(b, logNorm(b.N, 1), 128, 0.5)
}
func BenchmarkLNPercentiles256(b *testing.B) {
benchmarkSlice(b, logNorm(b.N, 1), 258, 0.5)
}
func benchmarkSlice(b *testing.B, numbers sort.Float64Slice, window int, percentile float64) {
p := NewPercentile(percentile, window)
b.ResetTimer()
for i := 0; i < b.N; i++ {
p.AddSample(numbers[i])
}
}