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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-16 19:19:13 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-16 19:19:13 +0000 |
commit | ccd992355df7192993c666236047820244914598 (patch) | |
tree | f00fea65147227b7743083c6148396f74cd66935 /src/slices/sort_test.go | |
parent | Initial commit. (diff) | |
download | golang-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.go | 442 |
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 index 0000000..af05859 --- /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) + } +} |