libgo: update to Go 1.11
[official-gcc.git] / libgo / go / sort / sort_test.go
blob3b31143a74570a422040691be5aebb1dc6c79ea0
1 // Copyright 2009 The Go Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style
3 // license that can be found in the LICENSE file.
5 package sort_test
7 import (
8 "fmt"
9 "internal/testenv"
10 "math"
11 "math/rand"
12 . "sort"
13 "strconv"
14 stringspkg "strings"
15 "testing"
18 var ints = [...]int{74, 59, 238, -784, 9845, 959, 905, 0, 0, 42, 7586, -5467984, 7586}
19 var float64s = [...]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}
20 var strings = [...]string{"", "Hello", "foo", "bar", "foo", "f00", "%*&^*&^&", "***"}
22 func TestSortIntSlice(t *testing.T) {
23 data := ints
24 a := IntSlice(data[0:])
25 Sort(a)
26 if !IsSorted(a) {
27 t.Errorf("sorted %v", ints)
28 t.Errorf(" got %v", data)
32 func TestSortFloat64Slice(t *testing.T) {
33 data := float64s
34 a := Float64Slice(data[0:])
35 Sort(a)
36 if !IsSorted(a) {
37 t.Errorf("sorted %v", float64s)
38 t.Errorf(" got %v", data)
42 func TestSortStringSlice(t *testing.T) {
43 data := strings
44 a := StringSlice(data[0:])
45 Sort(a)
46 if !IsSorted(a) {
47 t.Errorf("sorted %v", strings)
48 t.Errorf(" got %v", data)
52 func TestInts(t *testing.T) {
53 data := ints
54 Ints(data[0:])
55 if !IntsAreSorted(data[0:]) {
56 t.Errorf("sorted %v", ints)
57 t.Errorf(" got %v", data)
61 func TestFloat64s(t *testing.T) {
62 data := float64s
63 Float64s(data[0:])
64 if !Float64sAreSorted(data[0:]) {
65 t.Errorf("sorted %v", float64s)
66 t.Errorf(" got %v", data)
70 func TestStrings(t *testing.T) {
71 data := strings
72 Strings(data[0:])
73 if !StringsAreSorted(data[0:]) {
74 t.Errorf("sorted %v", strings)
75 t.Errorf(" got %v", data)
79 func TestSlice(t *testing.T) {
80 data := strings
81 Slice(data[:], func(i, j int) bool {
82 return data[i] < data[j]
84 if !SliceIsSorted(data[:], func(i, j int) bool { return data[i] < data[j] }) {
85 t.Errorf("sorted %v", strings)
86 t.Errorf(" got %v", data)
90 func TestSortLarge_Random(t *testing.T) {
91 n := 1000000
92 if testing.Short() {
93 n /= 100
95 data := make([]int, n)
96 for i := 0; i < len(data); i++ {
97 data[i] = rand.Intn(100)
99 if IntsAreSorted(data) {
100 t.Fatalf("terrible rand.rand")
102 Ints(data)
103 if !IntsAreSorted(data) {
104 t.Errorf("sort didn't sort - 1M ints")
108 func TestReverseSortIntSlice(t *testing.T) {
109 data := ints
110 data1 := ints
111 a := IntSlice(data[0:])
112 Sort(a)
113 r := IntSlice(data1[0:])
114 Sort(Reverse(r))
115 for i := 0; i < len(data); i++ {
116 if a[i] != r[len(data)-1-i] {
117 t.Errorf("reverse sort didn't sort")
119 if i > len(data)/2 {
120 break
125 type nonDeterministicTestingData struct {
126 r *rand.Rand
129 func (t *nonDeterministicTestingData) Len() int {
130 return 500
132 func (t *nonDeterministicTestingData) Less(i, j int) bool {
133 if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
134 panic("nondeterministic comparison out of bounds")
136 return t.r.Float32() < 0.5
138 func (t *nonDeterministicTestingData) Swap(i, j int) {
139 if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
140 panic("nondeterministic comparison out of bounds")
144 func TestNonDeterministicComparison(t *testing.T) {
145 // Ensure that sort.Sort does not panic when Less returns inconsistent results.
146 // See https://golang.org/issue/14377.
147 defer func() {
148 if r := recover(); r != nil {
149 t.Error(r)
153 td := &nonDeterministicTestingData{
154 r: rand.New(rand.NewSource(0)),
157 for i := 0; i < 10; i++ {
158 Sort(td)
162 func BenchmarkSortString1K(b *testing.B) {
163 b.StopTimer()
164 unsorted := make([]string, 1<<10)
165 for i := range unsorted {
166 unsorted[i] = strconv.Itoa(i ^ 0x2cc)
168 data := make([]string, len(unsorted))
170 for i := 0; i < b.N; i++ {
171 copy(data, unsorted)
172 b.StartTimer()
173 Strings(data)
174 b.StopTimer()
178 func BenchmarkSortString1K_Slice(b *testing.B) {
179 b.StopTimer()
180 unsorted := make([]string, 1<<10)
181 for i := range unsorted {
182 unsorted[i] = strconv.Itoa(i ^ 0x2cc)
184 data := make([]string, len(unsorted))
186 for i := 0; i < b.N; i++ {
187 copy(data, unsorted)
188 b.StartTimer()
189 Slice(data, func(i, j int) bool { return data[i] < data[j] })
190 b.StopTimer()
194 func BenchmarkStableString1K(b *testing.B) {
195 b.StopTimer()
196 unsorted := make([]string, 1<<10)
197 for i := range unsorted {
198 unsorted[i] = strconv.Itoa(i ^ 0x2cc)
200 data := make([]string, len(unsorted))
202 for i := 0; i < b.N; i++ {
203 copy(data, unsorted)
204 b.StartTimer()
205 Stable(StringSlice(data))
206 b.StopTimer()
210 func BenchmarkSortInt1K(b *testing.B) {
211 b.StopTimer()
212 for i := 0; i < b.N; i++ {
213 data := make([]int, 1<<10)
214 for i := 0; i < len(data); i++ {
215 data[i] = i ^ 0x2cc
217 b.StartTimer()
218 Ints(data)
219 b.StopTimer()
223 func BenchmarkStableInt1K(b *testing.B) {
224 b.StopTimer()
225 unsorted := make([]int, 1<<10)
226 for i := range unsorted {
227 unsorted[i] = i ^ 0x2cc
229 data := make([]int, len(unsorted))
230 for i := 0; i < b.N; i++ {
231 copy(data, unsorted)
232 b.StartTimer()
233 Stable(IntSlice(data))
234 b.StopTimer()
238 func BenchmarkStableInt1K_Slice(b *testing.B) {
239 b.StopTimer()
240 unsorted := make([]int, 1<<10)
241 for i := range unsorted {
242 unsorted[i] = i ^ 0x2cc
244 data := make([]int, len(unsorted))
245 for i := 0; i < b.N; i++ {
246 copy(data, unsorted)
247 b.StartTimer()
248 SliceStable(data, func(i, j int) bool { return data[i] < data[j] })
249 b.StopTimer()
253 func BenchmarkSortInt64K(b *testing.B) {
254 b.StopTimer()
255 for i := 0; i < b.N; i++ {
256 data := make([]int, 1<<16)
257 for i := 0; i < len(data); i++ {
258 data[i] = i ^ 0xcccc
260 b.StartTimer()
261 Ints(data)
262 b.StopTimer()
266 func BenchmarkSortInt64K_Slice(b *testing.B) {
267 b.StopTimer()
268 for i := 0; i < b.N; i++ {
269 data := make([]int, 1<<16)
270 for i := 0; i < len(data); i++ {
271 data[i] = i ^ 0xcccc
273 b.StartTimer()
274 Slice(data, func(i, j int) bool { return data[i] < data[j] })
275 b.StopTimer()
279 func BenchmarkStableInt64K(b *testing.B) {
280 b.StopTimer()
281 for i := 0; i < b.N; i++ {
282 data := make([]int, 1<<16)
283 for i := 0; i < len(data); i++ {
284 data[i] = i ^ 0xcccc
286 b.StartTimer()
287 Stable(IntSlice(data))
288 b.StopTimer()
292 const (
293 _Sawtooth = iota
294 _Rand
295 _Stagger
296 _Plateau
297 _Shuffle
298 _NDist
301 const (
302 _Copy = iota
303 _Reverse
304 _ReverseFirstHalf
305 _ReverseSecondHalf
306 _Sorted
307 _Dither
308 _NMode
311 type testingData struct {
312 desc string
313 t *testing.T
314 data []int
315 maxswap int // number of swaps allowed
316 ncmp, nswap int
319 func (d *testingData) Len() int { return len(d.data) }
320 func (d *testingData) Less(i, j int) bool {
321 d.ncmp++
322 return d.data[i] < d.data[j]
324 func (d *testingData) Swap(i, j int) {
325 if d.nswap >= d.maxswap {
326 d.t.Errorf("%s: used %d swaps sorting slice of %d", d.desc, d.nswap, len(d.data))
327 d.t.FailNow()
329 d.nswap++
330 d.data[i], d.data[j] = d.data[j], d.data[i]
333 func min(a, b int) int {
334 if a < b {
335 return a
337 return b
340 func lg(n int) int {
341 i := 0
342 for 1<<uint(i) < n {
345 return i
348 func testBentleyMcIlroy(t *testing.T, sort func(Interface), maxswap func(int) int) {
349 sizes := []int{100, 1023, 1024, 1025}
350 if testing.Short() {
351 sizes = []int{100, 127, 128, 129}
353 dists := []string{"sawtooth", "rand", "stagger", "plateau", "shuffle"}
354 modes := []string{"copy", "reverse", "reverse1", "reverse2", "sort", "dither"}
355 var tmp1, tmp2 [1025]int
356 for _, n := range sizes {
357 for m := 1; m < 2*n; m *= 2 {
358 for dist := 0; dist < _NDist; dist++ {
359 j := 0
360 k := 1
361 data := tmp1[0:n]
362 for i := 0; i < n; i++ {
363 switch dist {
364 case _Sawtooth:
365 data[i] = i % m
366 case _Rand:
367 data[i] = rand.Intn(m)
368 case _Stagger:
369 data[i] = (i*m + i) % n
370 case _Plateau:
371 data[i] = min(i, m)
372 case _Shuffle:
373 if rand.Intn(m) != 0 {
374 j += 2
375 data[i] = j
376 } else {
377 k += 2
378 data[i] = k
383 mdata := tmp2[0:n]
384 for mode := 0; mode < _NMode; mode++ {
385 switch mode {
386 case _Copy:
387 for i := 0; i < n; i++ {
388 mdata[i] = data[i]
390 case _Reverse:
391 for i := 0; i < n; i++ {
392 mdata[i] = data[n-i-1]
394 case _ReverseFirstHalf:
395 for i := 0; i < n/2; i++ {
396 mdata[i] = data[n/2-i-1]
398 for i := n / 2; i < n; i++ {
399 mdata[i] = data[i]
401 case _ReverseSecondHalf:
402 for i := 0; i < n/2; i++ {
403 mdata[i] = data[i]
405 for i := n / 2; i < n; i++ {
406 mdata[i] = data[n-(i-n/2)-1]
408 case _Sorted:
409 for i := 0; i < n; i++ {
410 mdata[i] = data[i]
412 // Ints is known to be correct
413 // because mode Sort runs after mode _Copy.
414 Ints(mdata)
415 case _Dither:
416 for i := 0; i < n; i++ {
417 mdata[i] = data[i] + i%5
421 desc := fmt.Sprintf("n=%d m=%d dist=%s mode=%s", n, m, dists[dist], modes[mode])
422 d := &testingData{desc: desc, t: t, data: mdata[0:n], maxswap: maxswap(n)}
423 sort(d)
424 // Uncomment if you are trying to improve the number of compares/swaps.
425 //t.Logf("%s: ncmp=%d, nswp=%d", desc, d.ncmp, d.nswap)
427 // If we were testing C qsort, we'd have to make a copy
428 // of the slice and sort it ourselves and then compare
429 // x against it, to ensure that qsort was only permuting
430 // the data, not (for example) overwriting it with zeros.
432 // In go, we don't have to be so paranoid: since the only
433 // mutating method Sort can call is TestingData.swap,
434 // it suffices here just to check that the final slice is sorted.
435 if !IntsAreSorted(mdata) {
436 t.Errorf("%s: ints not sorted", desc)
437 t.Errorf("\t%v", mdata)
438 t.FailNow()
446 func TestSortBM(t *testing.T) {
447 testBentleyMcIlroy(t, Sort, func(n int) int { return n * lg(n) * 12 / 10 })
450 func TestHeapsortBM(t *testing.T) {
451 testBentleyMcIlroy(t, Heapsort, func(n int) int { return n * lg(n) * 12 / 10 })
454 func TestStableBM(t *testing.T) {
455 testBentleyMcIlroy(t, Stable, func(n int) int { return n * lg(n) * lg(n) / 3 })
458 // This is based on the "antiquicksort" implementation by M. Douglas McIlroy.
459 // See https://www.cs.dartmouth.edu/~doug/mdmspe.pdf for more info.
460 type adversaryTestingData struct {
461 t *testing.T
462 data []int // item values, initialized to special gas value and changed by Less
463 maxcmp int // number of comparisons allowed
464 ncmp int // number of comparisons (calls to Less)
465 nsolid int // number of elements that have been set to non-gas values
466 candidate int // guess at current pivot
467 gas int // special value for unset elements, higher than everything else
470 func (d *adversaryTestingData) Len() int { return len(d.data) }
472 func (d *adversaryTestingData) Less(i, j int) bool {
473 if d.ncmp >= d.maxcmp {
474 d.t.Fatalf("used %d comparisons sorting adversary data with size %d", d.ncmp, len(d.data))
476 d.ncmp++
478 if d.data[i] == d.gas && d.data[j] == d.gas {
479 if i == d.candidate {
480 // freeze i
481 d.data[i] = d.nsolid
482 d.nsolid++
483 } else {
484 // freeze j
485 d.data[j] = d.nsolid
486 d.nsolid++
490 if d.data[i] == d.gas {
491 d.candidate = i
492 } else if d.data[j] == d.gas {
493 d.candidate = j
496 return d.data[i] < d.data[j]
499 func (d *adversaryTestingData) Swap(i, j int) {
500 d.data[i], d.data[j] = d.data[j], d.data[i]
503 func newAdversaryTestingData(t *testing.T, size int, maxcmp int) *adversaryTestingData {
504 gas := size - 1
505 data := make([]int, size)
506 for i := 0; i < size; i++ {
507 data[i] = gas
509 return &adversaryTestingData{t: t, data: data, maxcmp: maxcmp, gas: gas}
512 func TestAdversary(t *testing.T) {
513 const size = 10000 // large enough to distinguish between O(n^2) and O(n*log(n))
514 maxcmp := size * lg(size) * 4 // the factor 4 was found by trial and error
515 d := newAdversaryTestingData(t, size, maxcmp)
516 Sort(d) // This should degenerate to heapsort.
517 // Check data is fully populated and sorted.
518 for i, v := range d.data {
519 if v != i {
520 t.Errorf("adversary data not fully sorted")
521 t.FailNow()
526 func TestStableInts(t *testing.T) {
527 data := ints
528 Stable(IntSlice(data[0:]))
529 if !IntsAreSorted(data[0:]) {
530 t.Errorf("nsorted %v\n got %v", ints, data)
534 type intPairs []struct {
535 a, b int
538 // IntPairs compare on a only.
539 func (d intPairs) Len() int { return len(d) }
540 func (d intPairs) Less(i, j int) bool { return d[i].a < d[j].a }
541 func (d intPairs) Swap(i, j int) { d[i], d[j] = d[j], d[i] }
543 // Record initial order in B.
544 func (d intPairs) initB() {
545 for i := range d {
546 d[i].b = i
550 // InOrder checks if a-equal elements were not reordered.
551 func (d intPairs) inOrder() bool {
552 lastA, lastB := -1, 0
553 for i := 0; i < len(d); i++ {
554 if lastA != d[i].a {
555 lastA = d[i].a
556 lastB = d[i].b
557 continue
559 if d[i].b <= lastB {
560 return false
562 lastB = d[i].b
564 return true
567 func TestStability(t *testing.T) {
568 n, m := 100000, 1000
569 if testing.Short() {
570 n, m = 1000, 100
572 data := make(intPairs, n)
574 // random distribution
575 for i := 0; i < len(data); i++ {
576 data[i].a = rand.Intn(m)
578 if IsSorted(data) {
579 t.Fatalf("terrible rand.rand")
581 data.initB()
582 Stable(data)
583 if !IsSorted(data) {
584 t.Errorf("Stable didn't sort %d ints", n)
586 if !data.inOrder() {
587 t.Errorf("Stable wasn't stable on %d ints", n)
590 // already sorted
591 data.initB()
592 Stable(data)
593 if !IsSorted(data) {
594 t.Errorf("Stable shuffled sorted %d ints (order)", n)
596 if !data.inOrder() {
597 t.Errorf("Stable shuffled sorted %d ints (stability)", n)
600 // sorted reversed
601 for i := 0; i < len(data); i++ {
602 data[i].a = len(data) - i
604 data.initB()
605 Stable(data)
606 if !IsSorted(data) {
607 t.Errorf("Stable didn't sort %d ints", n)
609 if !data.inOrder() {
610 t.Errorf("Stable wasn't stable on %d ints", n)
614 var countOpsSizes = []int{1e2, 3e2, 1e3, 3e3, 1e4, 3e4, 1e5, 3e5, 1e6}
616 func countOps(t *testing.T, algo func(Interface), name string) {
617 sizes := countOpsSizes
618 if testing.Short() {
619 sizes = sizes[:5]
621 if !testing.Verbose() {
622 t.Skip("Counting skipped as non-verbose mode.")
624 for _, n := range sizes {
625 td := testingData{
626 desc: name,
627 t: t,
628 data: make([]int, n),
629 maxswap: 1<<31 - 1,
631 for i := 0; i < n; i++ {
632 td.data[i] = rand.Intn(n / 5)
634 algo(&td)
635 t.Logf("%s %8d elements: %11d Swap, %10d Less", name, n, td.nswap, td.ncmp)
639 func TestCountStableOps(t *testing.T) { countOps(t, Stable, "Stable") }
640 func TestCountSortOps(t *testing.T) { countOps(t, Sort, "Sort ") }
642 func bench(b *testing.B, size int, algo func(Interface), name string) {
643 if stringspkg.HasSuffix(testenv.Builder(), "-race") && size > 1e4 {
644 b.Skip("skipping slow benchmark on race builder")
646 b.StopTimer()
647 data := make(intPairs, size)
648 x := ^uint32(0)
649 for i := 0; i < b.N; i++ {
650 for n := size - 3; n <= size+3; n++ {
651 for i := 0; i < len(data); i++ {
652 x += x
653 x ^= 1
654 if int32(x) < 0 {
655 x ^= 0x88888eef
657 data[i].a = int(x % uint32(n/5))
659 data.initB()
660 b.StartTimer()
661 algo(data)
662 b.StopTimer()
663 if !IsSorted(data) {
664 b.Errorf("%s did not sort %d ints", name, n)
666 if name == "Stable" && !data.inOrder() {
667 b.Errorf("%s unstable on %d ints", name, n)
673 func BenchmarkSort1e2(b *testing.B) { bench(b, 1e2, Sort, "Sort") }
674 func BenchmarkStable1e2(b *testing.B) { bench(b, 1e2, Stable, "Stable") }
675 func BenchmarkSort1e4(b *testing.B) { bench(b, 1e4, Sort, "Sort") }
676 func BenchmarkStable1e4(b *testing.B) { bench(b, 1e4, Stable, "Stable") }
677 func BenchmarkSort1e6(b *testing.B) { bench(b, 1e6, Sort, "Sort") }
678 func BenchmarkStable1e6(b *testing.B) { bench(b, 1e6, Stable, "Stable") }