|  | // Copyright 2014 The Go Authors. All rights reserved. | 
|  | // Use of this source code is governed by a BSD-style | 
|  | // license that can be found in the LICENSE file. | 
|  |  | 
|  | package net | 
|  |  | 
|  | import ( | 
|  | "math/rand" | 
|  | "testing" | 
|  | ) | 
|  |  | 
|  | func checkDistribution(t *testing.T, data []*SRV, margin float64) { | 
|  | sum := 0 | 
|  | for _, srv := range data { | 
|  | sum += int(srv.Weight) | 
|  | } | 
|  |  | 
|  | results := make(map[string]int) | 
|  |  | 
|  | count := 1000 | 
|  | for j := 0; j < count; j++ { | 
|  | d := make([]*SRV, len(data)) | 
|  | copy(d, data) | 
|  | byPriorityWeight(d).shuffleByWeight() | 
|  | key := d[0].Target | 
|  | results[key] = results[key] + 1 | 
|  | } | 
|  |  | 
|  | actual := results[data[0].Target] | 
|  | expected := float64(count) * float64(data[0].Weight) / float64(sum) | 
|  | diff := float64(actual) - expected | 
|  | t.Logf("actual: %v diff: %v e: %v m: %v", actual, diff, expected, margin) | 
|  | if diff < 0 { | 
|  | diff = -diff | 
|  | } | 
|  | if diff > (expected * margin) { | 
|  | t.Errorf("missed target weight: expected %v, %v", expected, actual) | 
|  | } | 
|  | } | 
|  |  | 
|  | func testUniformity(t *testing.T, size int, margin float64) { | 
|  | rand.Seed(1) | 
|  | data := make([]*SRV, size) | 
|  | for i := 0; i < size; i++ { | 
|  | data[i] = &SRV{Target: string('a' + i), Weight: 1} | 
|  | } | 
|  | checkDistribution(t, data, margin) | 
|  | } | 
|  |  | 
|  | func TestDNSSRVUniformity(t *testing.T) { | 
|  | testUniformity(t, 2, 0.05) | 
|  | testUniformity(t, 3, 0.10) | 
|  | testUniformity(t, 10, 0.20) | 
|  | testWeighting(t, 0.05) | 
|  | } | 
|  |  | 
|  | func testWeighting(t *testing.T, margin float64) { | 
|  | rand.Seed(1) | 
|  | data := []*SRV{ | 
|  | {Target: "a", Weight: 60}, | 
|  | {Target: "b", Weight: 30}, | 
|  | {Target: "c", Weight: 10}, | 
|  | } | 
|  | checkDistribution(t, data, margin) | 
|  | } | 
|  |  | 
|  | func TestWeighting(t *testing.T) { | 
|  | testWeighting(t, 0.05) | 
|  | } |