Files
gonum/stat/combin/combin_test.go
Brendan Tracey a3eff45798 stat/combin: add Cartesian for constructing the cartesian product of … (#303)
* stat/combin: add Cartesian for constructing the cartesian product of a set of slices
2017-11-19 22:17:43 -07:00

277 lines
5.7 KiB
Go

// Copyright ©2016 The Gonum 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 combin
import (
"math/big"
"reflect"
"testing"
"gonum.org/v1/gonum/floats"
"gonum.org/v1/gonum/mat"
)
// intSosMatch returns true if the two slices of slices are equal.
func intSosMatch(a, b [][]int) bool {
if len(a) != len(b) {
return false
}
for i, s := range a {
if len(s) != len(b[i]) {
return false
}
for j, v := range s {
if v != b[i][j] {
return false
}
}
}
return true
}
var binomialTests = []struct {
n, k, ans int
}{
{0, 0, 1},
{5, 0, 1},
{5, 1, 5},
{5, 2, 10},
{5, 3, 10},
{5, 4, 5},
{5, 5, 1},
{6, 0, 1},
{6, 1, 6},
{6, 2, 15},
{6, 3, 20},
{6, 4, 15},
{6, 5, 6},
{6, 6, 1},
{20, 0, 1},
{20, 1, 20},
{20, 2, 190},
{20, 3, 1140},
{20, 4, 4845},
{20, 5, 15504},
{20, 6, 38760},
{20, 7, 77520},
{20, 8, 125970},
{20, 9, 167960},
{20, 10, 184756},
{20, 11, 167960},
{20, 12, 125970},
{20, 13, 77520},
{20, 14, 38760},
{20, 15, 15504},
{20, 16, 4845},
{20, 17, 1140},
{20, 18, 190},
{20, 19, 20},
{20, 20, 1},
}
func TestBinomial(t *testing.T) {
for cas, test := range binomialTests {
ans := Binomial(test.n, test.k)
if ans != test.ans {
t.Errorf("Case %v: Binomial mismatch. Got %v, want %v.", cas, ans, test.ans)
}
}
var (
n = 61
want big.Int
got big.Int
)
for k := 0; k <= n; k++ {
want.Binomial(int64(n), int64(k))
got.SetInt64(int64(Binomial(n, k)))
if want.Cmp(&got) != 0 {
t.Errorf("Case n=%v,k=%v: Binomial mismatch for large n. Got %v, want %v.", n, k, got, want)
}
}
}
func TestGeneralizedBinomial(t *testing.T) {
for cas, test := range binomialTests {
ans := GeneralizedBinomial(float64(test.n), float64(test.k))
if !floats.EqualWithinAbsOrRel(ans, float64(test.ans), 1e-14, 1e-14) {
t.Errorf("Case %v: Binomial mismatch. Got %v, want %v.", cas, ans, test.ans)
}
}
}
func TestCombinations(t *testing.T) {
for cas, test := range []struct {
n, k int
data [][]int
}{
{
n: 1,
k: 1,
data: [][]int{{0}},
},
{
n: 2,
k: 1,
data: [][]int{{0}, {1}},
},
{
n: 2,
k: 2,
data: [][]int{{0, 1}},
},
{
n: 3,
k: 1,
data: [][]int{{0}, {1}, {2}},
},
{
n: 3,
k: 2,
data: [][]int{{0, 1}, {0, 2}, {1, 2}},
},
{
n: 3,
k: 3,
data: [][]int{{0, 1, 2}},
},
{
n: 4,
k: 1,
data: [][]int{{0}, {1}, {2}, {3}},
},
{
n: 4,
k: 2,
data: [][]int{{0, 1}, {0, 2}, {0, 3}, {1, 2}, {1, 3}, {2, 3}},
},
{
n: 4,
k: 3,
data: [][]int{{0, 1, 2}, {0, 1, 3}, {0, 2, 3}, {1, 2, 3}},
},
{
n: 4,
k: 4,
data: [][]int{{0, 1, 2, 3}},
},
} {
data := Combinations(test.n, test.k)
if !intSosMatch(data, test.data) {
t.Errorf("Cas %v: Generated combinations mismatch. Got %v, want %v.", cas, data, test.data)
}
}
}
func TestCombinationGenerator(t *testing.T) {
for n := 0; n <= 10; n++ {
for k := 1; k <= n; k++ {
combinations := Combinations(n, k)
cg := NewCombinationGenerator(n, k)
genCombs := make([][]int, 0, len(combinations))
for cg.Next() {
genCombs = append(genCombs, cg.Combination(nil))
}
if !intSosMatch(combinations, genCombs) {
t.Errorf("Combinations and generated combinations do not match. n = %v, k = %v", n, k)
}
}
}
}
func TestCartesian(t *testing.T) {
// First, test with a known return.
data := [][]float64{
{1, 2},
{3, 4},
{5, 6},
}
want := mat.NewDense(8, 3, []float64{
1, 3, 5,
1, 3, 6,
1, 4, 5,
1, 4, 6,
2, 3, 5,
2, 3, 6,
2, 4, 5,
2, 4, 6,
})
got := Cartesian(nil, data)
if !mat.Equal(want, got) {
t.Errorf("cartesian data mismatch.\nwant:\n%v\ngot:\n%v", mat.Formatted(want), mat.Formatted(got))
}
gotTo := mat.NewDense(8, 3, nil)
Cartesian(gotTo, data)
if !mat.Equal(want, got) {
t.Errorf("cartesian data mismatch with supplied.\nwant:\n%v\ngot:\n%v", mat.Formatted(want), mat.Formatted(gotTo))
}
// Test that Cartesian generates unique vectors.
for cas, data := range [][][]float64{
{{1}, {2, 3}, {8, 9, 10}},
{{1, 10}, {2, 3}, {8, 9, 10}},
{{1, 10, 11}, {2, 3}, {8}},
} {
cart := Cartesian(nil, data)
r, c := cart.Dims()
if c != len(data) {
t.Errorf("Case %v: wrong number of columns. Want %v, got %v", cas, len(data), c)
}
wantRows := 1
for _, v := range data {
wantRows *= len(v)
}
if r != wantRows {
t.Errorf("Case %v: wrong number of rows. Want %v, got %v", cas, wantRows, r)
}
for i := 0; i < r; i++ {
for j := i + 1; j < r; j++ {
if floats.Equal(cart.RawRowView(i), cart.RawRowView(j)) {
t.Errorf("Cas %v: rows %d and %d are equal", cas, i, j)
}
}
}
cartTo := mat.NewDense(r, c, nil)
Cartesian(cartTo, data)
if !mat.Equal(cart, cartTo) {
t.Errorf("cartesian data mismatch with supplied.\nwant:\n%v\ngot:\n%v", mat.Formatted(cart), mat.Formatted(cartTo))
}
}
}
func TestIdxSubFor(t *testing.T) {
for cas, dims := range [][]int{
{2, 2},
{3, 1, 6},
{2, 4, 6, 7},
} {
// Loop over all of the indexes. Confirm that the subscripts make sense
// and that IdxFor is the converse of SubFor.
maxIdx := 1
for _, v := range dims {
maxIdx *= v
}
into := make([]int, len(dims))
for idx := 0; idx < maxIdx; idx++ {
sub := SubFor(nil, idx, dims)
for i := range sub {
if sub[i] < 0 || sub[i] >= dims[i] {
t.Errorf("cas %v: bad subscript. dims: %v, sub: %v", cas, dims, sub)
}
}
SubFor(into, idx, dims)
if !reflect.DeepEqual(sub, into) {
t.Errorf("cas %v: subscript mismatch with supplied slice. Got %v, want %v", cas, into, sub)
}
idxOut := IdxFor(sub, dims)
if idxOut != idx {
t.Errorf("cas %v: returned index mismatch. Got %v, want %v", cas, idxOut, idx)
}
}
}
}