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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-16 19:19:13 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-16 19:19:13 +0000
commitccd992355df7192993c666236047820244914598 (patch)
treef00fea65147227b7743083c6148396f74cd66935 /src/slices/sort_test.go
parentInitial commit. (diff)
downloadgolang-1.21-ccd992355df7192993c666236047820244914598.tar.xz
golang-1.21-ccd992355df7192993c666236047820244914598.zip
Adding upstream version 1.21.8.upstream/1.21.8
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'src/slices/sort_test.go')
-rw-r--r--src/slices/sort_test.go442
1 files changed, 442 insertions, 0 deletions
diff --git a/src/slices/sort_test.go b/src/slices/sort_test.go
new file mode 100644
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--- /dev/null
+++ b/src/slices/sort_test.go
@@ -0,0 +1,442 @@
+// Copyright 2023 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 slices
+
+import (
+ "cmp"
+ "fmt"
+ "math"
+ "math/rand"
+ "sort"
+ "strconv"
+ "strings"
+ "testing"
+)
+
+var ints = [...]int{74, 59, 238, -784, 9845, 959, 905, 0, 0, 42, 7586, -5467984, 7586}
+var float64s = [...]float64{74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3, math.Inf(-1), 9845.768, -959.7485, 905, 7.8, 7.8, 74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3}
+var float64sWithNaNs = [...]float64{74.3, 59.0, math.Inf(1), 238.2, -784.0, 2.3, math.NaN(), math.NaN(), math.Inf(-1), 9845.768, -959.7485, 905, 7.8, 7.8}
+var strs = [...]string{"", "Hello", "foo", "bar", "foo", "f00", "%*&^*&^&", "***"}
+
+func TestSortIntSlice(t *testing.T) {
+ data := Clone(ints[:])
+ Sort(data)
+ if !IsSorted(data) {
+ t.Errorf("sorted %v", ints)
+ t.Errorf(" got %v", data)
+ }
+}
+
+func TestSortFuncIntSlice(t *testing.T) {
+ data := Clone(ints[:])
+ SortFunc(data, func(a, b int) int { return a - b })
+ if !IsSorted(data) {
+ t.Errorf("sorted %v", ints)
+ t.Errorf(" got %v", data)
+ }
+}
+
+func TestSortFloat64Slice(t *testing.T) {
+ data := Clone(float64s[:])
+ Sort(data)
+ if !IsSorted(data) {
+ t.Errorf("sorted %v", float64s)
+ t.Errorf(" got %v", data)
+ }
+}
+
+func TestSortFloat64SliceWithNaNs(t *testing.T) {
+ data := float64sWithNaNs[:]
+ data2 := Clone(data)
+
+ Sort(data)
+ sort.Float64s(data2)
+
+ if !IsSorted(data) {
+ t.Error("IsSorted indicates data isn't sorted")
+ }
+
+ // Compare for equality using cmp.Compare, which considers NaNs equal.
+ if !EqualFunc(data, data2, func(a, b float64) bool { return cmp.Compare(a, b) == 0 }) {
+ t.Errorf("mismatch between Sort and sort.Float64: got %v, want %v", data, data2)
+ }
+}
+
+func TestSortStringSlice(t *testing.T) {
+ data := Clone(strs[:])
+ Sort(data)
+ if !IsSorted(data) {
+ t.Errorf("sorted %v", strs)
+ t.Errorf(" got %v", data)
+ }
+}
+
+func TestSortLarge_Random(t *testing.T) {
+ n := 1000000
+ if testing.Short() {
+ n /= 100
+ }
+ data := make([]int, n)
+ for i := 0; i < len(data); i++ {
+ data[i] = rand.Intn(100)
+ }
+ if IsSorted(data) {
+ t.Fatalf("terrible rand.rand")
+ }
+ Sort(data)
+ if !IsSorted(data) {
+ t.Errorf("sort didn't sort - 1M ints")
+ }
+}
+
+type intPair struct {
+ a, b int
+}
+
+type intPairs []intPair
+
+// Pairs compare on a only.
+func intPairCmp(x, y intPair) int {
+ return x.a - y.a
+}
+
+// Record initial order in B.
+func (d intPairs) initB() {
+ for i := range d {
+ d[i].b = i
+ }
+}
+
+// InOrder checks if a-equal elements were not reordered.
+func (d intPairs) inOrder() bool {
+ lastA, lastB := -1, 0
+ for i := 0; i < len(d); i++ {
+ if lastA != d[i].a {
+ lastA = d[i].a
+ lastB = d[i].b
+ continue
+ }
+ if d[i].b <= lastB {
+ return false
+ }
+ lastB = d[i].b
+ }
+ return true
+}
+
+func TestStability(t *testing.T) {
+ n, m := 100000, 1000
+ if testing.Short() {
+ n, m = 1000, 100
+ }
+ data := make(intPairs, n)
+
+ // random distribution
+ for i := 0; i < len(data); i++ {
+ data[i].a = rand.Intn(m)
+ }
+ if IsSortedFunc(data, intPairCmp) {
+ t.Fatalf("terrible rand.rand")
+ }
+ data.initB()
+ SortStableFunc(data, intPairCmp)
+ if !IsSortedFunc(data, intPairCmp) {
+ t.Errorf("Stable didn't sort %d ints", n)
+ }
+ if !data.inOrder() {
+ t.Errorf("Stable wasn't stable on %d ints", n)
+ }
+
+ // already sorted
+ data.initB()
+ SortStableFunc(data, intPairCmp)
+ if !IsSortedFunc(data, intPairCmp) {
+ t.Errorf("Stable shuffled sorted %d ints (order)", n)
+ }
+ if !data.inOrder() {
+ t.Errorf("Stable shuffled sorted %d ints (stability)", n)
+ }
+
+ // sorted reversed
+ for i := 0; i < len(data); i++ {
+ data[i].a = len(data) - i
+ }
+ data.initB()
+ SortStableFunc(data, intPairCmp)
+ if !IsSortedFunc(data, intPairCmp) {
+ t.Errorf("Stable didn't sort %d ints", n)
+ }
+ if !data.inOrder() {
+ t.Errorf("Stable wasn't stable on %d ints", n)
+ }
+}
+
+type S struct {
+ a int
+ b string
+}
+
+func cmpS(s1, s2 S) int {
+ return cmp.Compare(s1.a, s2.a)
+}
+
+func TestMinMax(t *testing.T) {
+ intCmp := func(a, b int) int { return a - b }
+
+ tests := []struct {
+ data []int
+ wantMin int
+ wantMax int
+ }{
+ {[]int{7}, 7, 7},
+ {[]int{1, 2}, 1, 2},
+ {[]int{2, 1}, 1, 2},
+ {[]int{1, 2, 3}, 1, 3},
+ {[]int{3, 2, 1}, 1, 3},
+ {[]int{2, 1, 3}, 1, 3},
+ {[]int{2, 2, 3}, 2, 3},
+ {[]int{3, 2, 3}, 2, 3},
+ {[]int{0, 2, -9}, -9, 2},
+ }
+ for _, tt := range tests {
+ t.Run(fmt.Sprintf("%v", tt.data), func(t *testing.T) {
+ gotMin := Min(tt.data)
+ if gotMin != tt.wantMin {
+ t.Errorf("Min got %v, want %v", gotMin, tt.wantMin)
+ }
+
+ gotMinFunc := MinFunc(tt.data, intCmp)
+ if gotMinFunc != tt.wantMin {
+ t.Errorf("MinFunc got %v, want %v", gotMinFunc, tt.wantMin)
+ }
+
+ gotMax := Max(tt.data)
+ if gotMax != tt.wantMax {
+ t.Errorf("Max got %v, want %v", gotMax, tt.wantMax)
+ }
+
+ gotMaxFunc := MaxFunc(tt.data, intCmp)
+ if gotMaxFunc != tt.wantMax {
+ t.Errorf("MaxFunc got %v, want %v", gotMaxFunc, tt.wantMax)
+ }
+ })
+ }
+
+ svals := []S{
+ {1, "a"},
+ {2, "a"},
+ {1, "b"},
+ {2, "b"},
+ }
+
+ gotMin := MinFunc(svals, cmpS)
+ wantMin := S{1, "a"}
+ if gotMin != wantMin {
+ t.Errorf("MinFunc(%v) = %v, want %v", svals, gotMin, wantMin)
+ }
+
+ gotMax := MaxFunc(svals, cmpS)
+ wantMax := S{2, "a"}
+ if gotMax != wantMax {
+ t.Errorf("MaxFunc(%v) = %v, want %v", svals, gotMax, wantMax)
+ }
+}
+
+func TestMinMaxNaNs(t *testing.T) {
+ fs := []float64{1.0, 999.9, 3.14, -400.4, -5.14}
+ if Min(fs) != -400.4 {
+ t.Errorf("got min %v, want -400.4", Min(fs))
+ }
+ if Max(fs) != 999.9 {
+ t.Errorf("got max %v, want 999.9", Max(fs))
+ }
+
+ // No matter which element of fs is replaced with a NaN, both Min and Max
+ // should propagate the NaN to their output.
+ for i := 0; i < len(fs); i++ {
+ testfs := Clone(fs)
+ testfs[i] = math.NaN()
+
+ fmin := Min(testfs)
+ if !math.IsNaN(fmin) {
+ t.Errorf("got min %v, want NaN", fmin)
+ }
+
+ fmax := Max(testfs)
+ if !math.IsNaN(fmax) {
+ t.Errorf("got max %v, want NaN", fmax)
+ }
+ }
+}
+
+func TestMinMaxPanics(t *testing.T) {
+ intCmp := func(a, b int) int { return a - b }
+ emptySlice := []int{}
+
+ if !panics(func() { Min(emptySlice) }) {
+ t.Errorf("Min([]): got no panic, want panic")
+ }
+
+ if !panics(func() { Max(emptySlice) }) {
+ t.Errorf("Max([]): got no panic, want panic")
+ }
+
+ if !panics(func() { MinFunc(emptySlice, intCmp) }) {
+ t.Errorf("MinFunc([]): got no panic, want panic")
+ }
+
+ if !panics(func() { MaxFunc(emptySlice, intCmp) }) {
+ t.Errorf("MaxFunc([]): got no panic, want panic")
+ }
+}
+
+func TestBinarySearch(t *testing.T) {
+ str1 := []string{"foo"}
+ str2 := []string{"ab", "ca"}
+ str3 := []string{"mo", "qo", "vo"}
+ str4 := []string{"ab", "ad", "ca", "xy"}
+
+ // slice with repeating elements
+ strRepeats := []string{"ba", "ca", "da", "da", "da", "ka", "ma", "ma", "ta"}
+
+ // slice with all element equal
+ strSame := []string{"xx", "xx", "xx"}
+
+ tests := []struct {
+ data []string
+ target string
+ wantPos int
+ wantFound bool
+ }{
+ {[]string{}, "foo", 0, false},
+ {[]string{}, "", 0, false},
+
+ {str1, "foo", 0, true},
+ {str1, "bar", 0, false},
+ {str1, "zx", 1, false},
+
+ {str2, "aa", 0, false},
+ {str2, "ab", 0, true},
+ {str2, "ad", 1, false},
+ {str2, "ca", 1, true},
+ {str2, "ra", 2, false},
+
+ {str3, "bb", 0, false},
+ {str3, "mo", 0, true},
+ {str3, "nb", 1, false},
+ {str3, "qo", 1, true},
+ {str3, "tr", 2, false},
+ {str3, "vo", 2, true},
+ {str3, "xr", 3, false},
+
+ {str4, "aa", 0, false},
+ {str4, "ab", 0, true},
+ {str4, "ac", 1, false},
+ {str4, "ad", 1, true},
+ {str4, "ax", 2, false},
+ {str4, "ca", 2, true},
+ {str4, "cc", 3, false},
+ {str4, "dd", 3, false},
+ {str4, "xy", 3, true},
+ {str4, "zz", 4, false},
+
+ {strRepeats, "da", 2, true},
+ {strRepeats, "db", 5, false},
+ {strRepeats, "ma", 6, true},
+ {strRepeats, "mb", 8, false},
+
+ {strSame, "xx", 0, true},
+ {strSame, "ab", 0, false},
+ {strSame, "zz", 3, false},
+ }
+ for _, tt := range tests {
+ t.Run(tt.target, func(t *testing.T) {
+ {
+ pos, found := BinarySearch(tt.data, tt.target)
+ if pos != tt.wantPos || found != tt.wantFound {
+ t.Errorf("BinarySearch got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+ }
+ }
+
+ {
+ pos, found := BinarySearchFunc(tt.data, tt.target, strings.Compare)
+ if pos != tt.wantPos || found != tt.wantFound {
+ t.Errorf("BinarySearchFunc got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+ }
+ }
+ })
+ }
+}
+
+func TestBinarySearchInts(t *testing.T) {
+ data := []int{20, 30, 40, 50, 60, 70, 80, 90}
+ tests := []struct {
+ target int
+ wantPos int
+ wantFound bool
+ }{
+ {20, 0, true},
+ {23, 1, false},
+ {43, 3, false},
+ {80, 6, true},
+ }
+ for _, tt := range tests {
+ t.Run(strconv.Itoa(tt.target), func(t *testing.T) {
+ {
+ pos, found := BinarySearch(data, tt.target)
+ if pos != tt.wantPos || found != tt.wantFound {
+ t.Errorf("BinarySearch got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+ }
+ }
+
+ {
+ cmp := func(a, b int) int {
+ return a - b
+ }
+ pos, found := BinarySearchFunc(data, tt.target, cmp)
+ if pos != tt.wantPos || found != tt.wantFound {
+ t.Errorf("BinarySearchFunc got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+ }
+ }
+ })
+ }
+}
+
+func TestBinarySearchFloats(t *testing.T) {
+ data := []float64{math.NaN(), -0.25, 0.0, 1.4}
+ tests := []struct {
+ target float64
+ wantPos int
+ wantFound bool
+ }{
+ {math.NaN(), 0, true},
+ {math.Inf(-1), 1, false},
+ {-0.25, 1, true},
+ {0.0, 2, true},
+ {1.4, 3, true},
+ {1.5, 4, false},
+ }
+ for _, tt := range tests {
+ t.Run(fmt.Sprintf("%v", tt.target), func(t *testing.T) {
+ {
+ pos, found := BinarySearch(data, tt.target)
+ if pos != tt.wantPos || found != tt.wantFound {
+ t.Errorf("BinarySearch got (%v, %v), want (%v, %v)", pos, found, tt.wantPos, tt.wantFound)
+ }
+ }
+ })
+ }
+}
+
+func TestBinarySearchFunc(t *testing.T) {
+ data := []int{1, 10, 11, 2} // sorted lexicographically
+ cmp := func(a int, b string) int {
+ return strings.Compare(strconv.Itoa(a), b)
+ }
+ pos, found := BinarySearchFunc(data, "2", cmp)
+ if pos != 3 || !found {
+ t.Errorf("BinarySearchFunc(%v, %q, cmp) = %v, %v, want %v, %v", data, "2", pos, found, 3, true)
+ }
+}