lotus/cmd/lotus-bench/stats_test.go
Jakub Sztandera 29f5f451b3
Add covariance
Signed-off-by: Jakub Sztandera <kubuxu@protocol.ai>
2020-07-02 18:47:33 +02:00

46 lines
1.1 KiB
Go

package main
import (
"math/rand"
"testing"
)
func TestMeanVar(t *testing.T) {
N := 16
ss := make([]*meanVar, N)
rng := rand.New(rand.NewSource(1))
for i := 0; i < N; i++ {
ss[i] = &meanVar{}
maxJ := rng.Intn(1000)
for j := 0; j < maxJ; j++ {
ss[i].AddPoint(rng.NormFloat64()*5 + 500)
}
t.Logf("mean: %f, stddev: %f, count %f", ss[i].mean, ss[i].Stddev(), ss[i].n)
}
out := &meanVar{}
for i := 0; i < N; i++ {
out.Combine(ss[i])
t.Logf("combine: mean: %f, stddev: %f", out.mean, out.Stddev())
}
}
func TestCovar(t *testing.T) {
N := 16
ss := make([]*covar, N)
rng := rand.New(rand.NewSource(1))
for i := 0; i < N; i++ {
ss[i] = &covar{}
maxJ := rng.Intn(1000) + 500
for j := 0; j < maxJ; j++ {
x := rng.NormFloat64()*5 + 500
ss[i].AddPoint(x, x*(rng.NormFloat64()/10+2)-rng.NormFloat64()-1000)
}
t.Logf("covar: %f, y = %f*x+%f @%.0f", ss[i].Covariance(), ss[i].A(), ss[i].B(), ss[i].n)
}
out := &covar{}
for i := 0; i < N; i++ {
out.Combine(ss[i])
t.Logf("combine: covar: %f, y = %f*x+%f", ss[i].Covariance(), ss[i].A(), ss[i].B())
}
}