File: karger_test.go

package info (click to toggle)
golang-github-biogo-graph 0.0~git20150317.057c198-3
  • links: PTS, VCS
  • area: main
  • in suites: bookworm, sid, trixie
  • size: 124 kB
  • sloc: makefile: 4
file content (127 lines) | stat: -rw-r--r-- 3,526 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
// Copyright ©2012 The bíogo 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 graph

import (
	"math"
	"math/rand"
	"runtime"
	"testing"

	"gopkg.in/check.v1"
)

type N struct {
	id    int
	tails []int
}

// graph - all edges described at both nodes (historical reasons)
var (
	testG = [][]N{
		{
			{id: 1, tails: []int{19, 15, 36, 23, 18, 39}},
			{id: 2, tails: []int{36, 23, 4, 18, 26, 9}},
			{id: 3, tails: []int{35, 6, 16, 11}},
			{id: 4, tails: []int{23, 2, 18, 24}},
			{id: 5, tails: []int{14, 8, 29, 21}},
			{id: 6, tails: []int{34, 35, 3, 16}},
			{id: 7, tails: []int{30, 33, 38, 28}},
			{id: 8, tails: []int{12, 14, 5, 29, 31}},
			{id: 9, tails: []int{39, 13, 20, 10, 17, 2}},
			{id: 10, tails: []int{9, 20, 12, 14, 29}},
			{id: 11, tails: []int{3, 16, 30, 33, 26}},
			{id: 12, tails: []int{20, 10, 14, 8}},
			{id: 13, tails: []int{24, 39, 9, 20}},
			{id: 14, tails: []int{10, 12, 8, 5}},
			{id: 15, tails: []int{26, 19, 1, 36}},
			{id: 16, tails: []int{6, 3, 11, 30, 17, 35, 32}},
			{id: 17, tails: []int{38, 28, 32, 40, 9, 16}},
			{id: 18, tails: []int{2, 4, 24, 39, 1}},
			{id: 19, tails: []int{27, 26, 15, 1}},
			{id: 20, tails: []int{13, 9, 10, 12}},
			{id: 21, tails: []int{5, 29, 25, 37}},
			{id: 22, tails: []int{32, 40, 34, 35}},
			{id: 23, tails: []int{1, 36, 2, 4}},
			{id: 24, tails: []int{4, 18, 39, 13}},
			{id: 25, tails: []int{29, 21, 37, 31}},
			{id: 26, tails: []int{31, 27, 19, 15, 11, 2}},
			{id: 27, tails: []int{37, 31, 26, 19, 29}},
			{id: 28, tails: []int{7, 38, 17, 32}},
			{id: 29, tails: []int{8, 5, 21, 25, 10, 27}},
			{id: 30, tails: []int{16, 11, 33, 7, 37}},
			{id: 31, tails: []int{25, 37, 27, 26, 8}},
			{id: 32, tails: []int{28, 17, 40, 22, 16}},
			{id: 33, tails: []int{11, 30, 7, 38}},
			{id: 34, tails: []int{40, 22, 35, 6}},
			{id: 35, tails: []int{22, 34, 6, 3, 16}},
			{id: 36, tails: []int{15, 1, 23, 2}},
			{id: 37, tails: []int{21, 25, 31, 27, 30}},
			{id: 38, tails: []int{33, 7, 28, 17, 40}},
			{id: 39, tails: []int{18, 24, 13, 9, 1}},
			{id: 40, tails: []int{17, 32, 22, 34, 38}},
		},
		{
			{id: 1, tails: []int{4}},
			{id: 2, tails: []int{3, 4}},
			{id: 3, tails: []int{2, 4}},
			{id: 4, tails: []int{1, 2, 3, 5}},
			{id: 5, tails: []int{4, 6}},
			{id: 6, tails: []int{5}},
		},
	}
	cutExpects = []float64{3, 1}
)

// Helpers
func createGraph(nodes []N) *Undirected {
	g := NewUndirected()
	for _, n := range nodes {
		h, _ := g.AddID(n.id)
		for _, tid := range n.tails {
			t, _ := g.AddID(tid)
			if n.id < tid {
				g.Connect(h, t)
			}
		}
	}

	return g
}

// Tests
func (s *S) TestKargerFastMinCut(c *check.C) {
	rand.Seed(0)
	for j, g := range testG {
		G := createGraph(g)
		lo := int(math.Log(float64(G.Order())))
		_, mc := RandMinCut(G, lo*lo)
		c.Check(mc, check.Equals, cutExpects[j])
	}
}
func (s *S) TestKargerFastMinCutPar(c *check.C) {
	rand.Seed(0)
	for j, g := range testG {
		G := createGraph(g)
		lo := int(math.Log(float64(G.Order())))
		_, mc := RandMinCutPar(G, lo*lo, runtime.GOMAXPROCS(0))
		c.Check(mc, check.Equals, cutExpects[j])
	}
}

func BenchmarkFastKarger(b *testing.B) {
	G := createGraph(testG[0])
	lo := int(math.Log(float64(G.Order())))
	for j := 0; j < b.N; j++ {
		RandMinCut(G, lo*lo)
	}
}
func BenchmarkFastKargerPar(b *testing.B) {
	G := createGraph(testG[0])
	lo := int(math.Log(float64(G.Order())))
	for j := 0; j < b.N; j++ {
		RandMinCutPar(G, lo*lo, runtime.GOMAXPROCS(0))
	}
}