60 lines
1.5 KiB
Go
60 lines
1.5 KiB
Go
package histogram
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import (
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"math"
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"testing"
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)
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func TestFastUnderflow(t *testing.T) {
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f := GetFast()
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defer PutFast(f)
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q := f.Quantile(0.5)
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if !math.IsNaN(q) {
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t.Fatalf("unexpected quantile for empty histogram; got %v; want %v", q, nan)
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}
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for i := 0; i < maxSamples; i++ {
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f.Update(float64(i))
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}
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qs := f.Quantiles(nil, []float64{0, 0.5, 1})
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if qs[0] != 0 {
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t.Fatalf("unexpected quantile value for phi=0; got %v; want %v", qs[0], 0)
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}
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if qs[1] != maxSamples/2 {
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t.Fatalf("unexpected quantile value for phi=0.5; got %v; want %v", qs[1], maxSamples/2)
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}
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if qs[2] != maxSamples-1 {
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t.Fatalf("unexpected quantile value for phi=1; got %v; want %v", qs[2], maxSamples-1)
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}
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}
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func TestFastOverflow(t *testing.T) {
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f := GetFast()
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defer PutFast(f)
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for i := 0; i < maxSamples*10; i++ {
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f.Update(float64(i))
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}
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qs := f.Quantiles(nil, []float64{0, 0.5, 0.9999, 1})
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if qs[0] != 0 {
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t.Fatalf("unexpected quantile value for phi=0; got %v; want %v", qs[0], 0)
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}
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median := float64(maxSamples*10-1) / 2
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if qs[1] < median*0.9 || qs[1] > median*1.1 {
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t.Fatalf("unexpected quantile value for phi=0.5; got %v; want %v", qs[1], median)
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}
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if qs[2] < maxSamples*10*0.9 {
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t.Fatalf("unexpected quantile value for phi=0.9999; got %v; want %v", qs[2], maxSamples*10*0.9)
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}
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if qs[3] != maxSamples*10-1 {
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t.Fatalf("unexpected quantile value for phi=1; got %v; want %v", qs[3], maxSamples*10-1)
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}
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q := f.Quantile(nan)
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if !math.IsNaN(q) {
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t.Fatalf("unexpected value for phi=NaN; got %v; want %v", q, nan)
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}
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}
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