Gecko [ 167.86.127.34 ]

Name	Size	Permission
example_interface_test.go	1.47 KB	-rw-r--r--
example_keys_test.go	2.68 KB	-rw-r--r--
example_multi_test.go	4.05 KB	-rw-r--r--
example_search_test.go	1.16 KB	-rw-r--r--
example_test.go	2.85 KB	-rw-r--r--
example_wrapper_test.go	1.63 KB	-rw-r--r--
export_test.go	239 B	-rw-r--r--
genzfunc.go	2.91 KB	-rw-r--r--
search.go	4.14 KB	-rw-r--r--
search_test.go	4.25 KB	-rw-r--r--
slice.go	1.26 KB	-rw-r--r--
slice_go113.go	305 B	-rw-r--r--
slice_go14.go	468 B	-rw-r--r--
slice_go18.go	291 B	-rw-r--r--
sort.go	15.8 KB	-rw-r--r--
sort_test.go	15.09 KB	-rw-r--r--
zfuncversion.go	4.82 KB	-rw-r--r--

Code Editor : sort_test.go

// Copyright 2009 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 sort_test

import (
	"fmt"
	"internal/testenv"
	"math"
	"math/rand"
	. "sort"
	"strconv"
	stringspkg "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.NaN(), math.NaN(), math.Inf(-1), 9845.768, -959.7485, 905, 7.8, 7.8}
var strings = [...]string{"", "Hello", "foo", "bar", "foo", "f00", "%*&^*&^&", "***"}

func TestSortIntSlice(t *testing.T) {
	data := ints
	a := IntSlice(data[0:])
	Sort(a)
	if !IsSorted(a) {
		t.Errorf("sorted %v", ints)
		t.Errorf("   got %v", data)
	}
}

func TestSortFloat64Slice(t *testing.T) {
	data := float64s
	a := Float64Slice(data[0:])
	Sort(a)
	if !IsSorted(a) {
		t.Errorf("sorted %v", float64s)
		t.Errorf("   got %v", data)
	}
}

func TestSortStringSlice(t *testing.T) {
	data := strings
	a := StringSlice(data[0:])
	Sort(a)
	if !IsSorted(a) {
		t.Errorf("sorted %v", strings)
		t.Errorf("   got %v", data)
	}
}

func TestInts(t *testing.T) {
	data := ints
	Ints(data[0:])
	if !IntsAreSorted(data[0:]) {
		t.Errorf("sorted %v", ints)
		t.Errorf("   got %v", data)
	}
}

func TestFloat64s(t *testing.T) {
	data := float64s
	Float64s(data[0:])
	if !Float64sAreSorted(data[0:]) {
		t.Errorf("sorted %v", float64s)
		t.Errorf("   got %v", data)
	}
}

func TestStrings(t *testing.T) {
	data := strings
	Strings(data[0:])
	if !StringsAreSorted(data[0:]) {
		t.Errorf("sorted %v", strings)
		t.Errorf("   got %v", data)
	}
}

func TestSlice(t *testing.T) {
	data := strings
	Slice(data[:], func(i, j int) bool {
		return data[i] < data[j]
	})
	if !SliceIsSorted(data[:], func(i, j int) bool { return data[i] < data[j] }) {
		t.Errorf("sorted %v", strings)
		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 IntsAreSorted(data) {
		t.Fatalf("terrible rand.rand")
	}
	Ints(data)
	if !IntsAreSorted(data) {
		t.Errorf("sort didn't sort - 1M ints")
	}
}

func TestReverseSortIntSlice(t *testing.T) {
	data := ints
	data1 := ints
	a := IntSlice(data[0:])
	Sort(a)
	r := IntSlice(data1[0:])
	Sort(Reverse(r))
	for i := 0; i < len(data); i++ {
		if a[i] != r[len(data)-1-i] {
			t.Errorf("reverse sort didn't sort")
		}
		if i > len(data)/2 {
			break
		}
	}
}

type nonDeterministicTestingData struct {
	r *rand.Rand
}

func (t *nonDeterministicTestingData) Len() int {
	return 500
}
func (t *nonDeterministicTestingData) Less(i, j int) bool {
	if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
		panic("nondeterministic comparison out of bounds")
	}
	return t.r.Float32() < 0.5
}
func (t *nonDeterministicTestingData) Swap(i, j int) {
	if i < 0 || j < 0 || i >= t.Len() || j >= t.Len() {
		panic("nondeterministic comparison out of bounds")
	}
}

func TestNonDeterministicComparison(t *testing.T) {
	// Ensure that sort.Sort does not panic when Less returns inconsistent results.
	// See https://golang.org/issue/14377.
	defer func() {
		if r := recover(); r != nil {
			t.Error(r)
		}
	}()

td := &nonDeterministicTestingData{
		r: rand.New(rand.NewSource(0)),
	}

for i := 0; i < 10; i++ {
		Sort(td)
	}
}

func BenchmarkSortString1K(b *testing.B) {
	b.StopTimer()
	unsorted := make([]string, 1<<10)
	for i := range unsorted {
		unsorted[i] = strconv.Itoa(i ^ 0x2cc)
	}
	data := make([]string, len(unsorted))

for i := 0; i < b.N; i++ {
		copy(data, unsorted)
		b.StartTimer()
		Strings(data)
		b.StopTimer()
	}
}

func BenchmarkSortString1K_Slice(b *testing.B) {
	b.StopTimer()
	unsorted := make([]string, 1<<10)
	for i := range unsorted {
		unsorted[i] = strconv.Itoa(i ^ 0x2cc)
	}
	data := make([]string, len(unsorted))

for i := 0; i < b.N; i++ {
		copy(data, unsorted)
		b.StartTimer()
		Slice(data, func(i, j int) bool { return data[i] < data[j] })
		b.StopTimer()
	}
}

func BenchmarkStableString1K(b *testing.B) {
	b.StopTimer()
	unsorted := make([]string, 1<<10)
	for i := range unsorted {
		unsorted[i] = strconv.Itoa(i ^ 0x2cc)
	}
	data := make([]string, len(unsorted))

for i := 0; i < b.N; i++ {
		copy(data, unsorted)
		b.StartTimer()
		Stable(StringSlice(data))
		b.StopTimer()
	}
}

func BenchmarkSortInt1K(b *testing.B) {
	b.StopTimer()
	for i := 0; i < b.N; i++ {
		data := make([]int, 1<<10)
		for i := 0; i < len(data); i++ {
			data[i] = i ^ 0x2cc
		}
		b.StartTimer()
		Ints(data)
		b.StopTimer()
	}
}

func BenchmarkStableInt1K(b *testing.B) {
	b.StopTimer()
	unsorted := make([]int, 1<<10)
	for i := range unsorted {
		unsorted[i] = i ^ 0x2cc
	}
	data := make([]int, len(unsorted))
	for i := 0; i < b.N; i++ {
		copy(data, unsorted)
		b.StartTimer()
		Stable(IntSlice(data))
		b.StopTimer()
	}
}

func BenchmarkStableInt1K_Slice(b *testing.B) {
	b.StopTimer()
	unsorted := make([]int, 1<<10)
	for i := range unsorted {
		unsorted[i] = i ^ 0x2cc
	}
	data := make([]int, len(unsorted))
	for i := 0; i < b.N; i++ {
		copy(data, unsorted)
		b.StartTimer()
		SliceStable(data, func(i, j int) bool { return data[i] < data[j] })
		b.StopTimer()
	}
}

func BenchmarkSortInt64K(b *testing.B) {
	b.StopTimer()
	for i := 0; i < b.N; i++ {
		data := make([]int, 1<<16)
		for i := 0; i < len(data); i++ {
			data[i] = i ^ 0xcccc
		}
		b.StartTimer()
		Ints(data)
		b.StopTimer()
	}
}

func BenchmarkSortInt64K_Slice(b *testing.B) {
	b.StopTimer()
	for i := 0; i < b.N; i++ {
		data := make([]int, 1<<16)
		for i := 0; i < len(data); i++ {
			data[i] = i ^ 0xcccc
		}
		b.StartTimer()
		Slice(data, func(i, j int) bool { return data[i] < data[j] })
		b.StopTimer()
	}
}

func BenchmarkStableInt64K(b *testing.B) {
	b.StopTimer()
	for i := 0; i < b.N; i++ {
		data := make([]int, 1<<16)
		for i := 0; i < len(data); i++ {
			data[i] = i ^ 0xcccc
		}
		b.StartTimer()
		Stable(IntSlice(data))
		b.StopTimer()
	}
}

const (
	_Sawtooth = iota
	_Rand
	_Stagger
	_Plateau
	_Shuffle
	_NDist
)

const (
	_Copy = iota
	_Reverse
	_ReverseFirstHalf
	_ReverseSecondHalf
	_Sorted
	_Dither
	_NMode
)

type testingData struct {
	desc        string
	t           *testing.T
	data        []int
	maxswap     int // number of swaps allowed
	ncmp, nswap int
}

func (d *testingData) Len() int { return len(d.data) }
func (d *testingData) Less(i, j int) bool {
	d.ncmp++
	return d.data[i] < d.data[j]
}
func (d *testingData) Swap(i, j int) {
	if d.nswap >= d.maxswap {
		d.t.Fatalf("%s: used %d swaps sorting slice of %d", d.desc, d.nswap, len(d.data))
	}
	d.nswap++
	d.data[i], d.data[j] = d.data[j], d.data[i]
}

func min(a, b int) int {
	if a < b {
		return a
	}
	return b
}

func lg(n int) int {
	i := 0
	for 1<<uint(i) < n {
		i++
	}
	return i
}

func testBentleyMcIlroy(t *testing.T, sort func(Interface), maxswap func(int) int) {
	sizes := []int{100, 1023, 1024, 1025}
	if testing.Short() {
		sizes = []int{100, 127, 128, 129}
	}
	dists := []string{"sawtooth", "rand", "stagger", "plateau", "shuffle"}
	modes := []string{"copy", "reverse", "reverse1", "reverse2", "sort", "dither"}
	var tmp1, tmp2 [1025]int
	for _, n := range sizes {
		for m := 1; m < 2*n; m *= 2 {
			for dist := 0; dist < _NDist; dist++ {
				j := 0
				k := 1
				data := tmp1[0:n]
				for i := 0; i < n; i++ {
					switch dist {
					case _Sawtooth:
						data[i] = i % m
					case _Rand:
						data[i] = rand.Intn(m)
					case _Stagger:
						data[i] = (i*m + i) % n
					case _Plateau:
						data[i] = min(i, m)
					case _Shuffle:
						if rand.Intn(m) != 0 {
							j += 2
							data[i] = j
						} else {
							k += 2
							data[i] = k
						}
					}
				}

mdata := tmp2[0:n]
				for mode := 0; mode < _NMode; mode++ {
					switch mode {
					case _Copy:
						for i := 0; i < n; i++ {
							mdata[i] = data[i]
						}
					case _Reverse:
						for i := 0; i < n; i++ {
							mdata[i] = data[n-i-1]
						}
					case _ReverseFirstHalf:
						for i := 0; i < n/2; i++ {
							mdata[i] = data[n/2-i-1]
						}
						for i := n / 2; i < n; i++ {
							mdata[i] = data[i]
						}
					case _ReverseSecondHalf:
						for i := 0; i < n/2; i++ {
							mdata[i] = data[i]
						}
						for i := n / 2; i < n; i++ {
							mdata[i] = data[n-(i-n/2)-1]
						}
					case _Sorted:
						for i := 0; i < n; i++ {
							mdata[i] = data[i]
						}
						// Ints is known to be correct
						// because mode Sort runs after mode _Copy.
						Ints(mdata)
					case _Dither:
						for i := 0; i < n; i++ {
							mdata[i] = data[i] + i%5
						}
					}

desc := fmt.Sprintf("n=%d m=%d dist=%s mode=%s", n, m, dists[dist], modes[mode])
					d := &testingData{desc: desc, t: t, data: mdata[0:n], maxswap: maxswap(n)}
					sort(d)
					// Uncomment if you are trying to improve the number of compares/swaps.
					//t.Logf("%s: ncmp=%d, nswp=%d", desc, d.ncmp, d.nswap)

// If we were testing C qsort, we'd have to make a copy
					// of the slice and sort it ourselves and then compare
					// x against it, to ensure that qsort was only permuting
					// the data, not (for example) overwriting it with zeros.
					//
					// In go, we don't have to be so paranoid: since the only
					// mutating method Sort can call is TestingData.swap,
					// it suffices here just to check that the final slice is sorted.
					if !IntsAreSorted(mdata) {
						t.Fatalf("%s: ints not sorted\n\t%v", desc, mdata)
					}
				}
			}
		}
	}
}

func TestSortBM(t *testing.T) {
	testBentleyMcIlroy(t, Sort, func(n int) int { return n * lg(n) * 12 / 10 })
}

func TestHeapsortBM(t *testing.T) {
	testBentleyMcIlroy(t, Heapsort, func(n int) int { return n * lg(n) * 12 / 10 })
}

func TestStableBM(t *testing.T) {
	testBentleyMcIlroy(t, Stable, func(n int) int { return n * lg(n) * lg(n) / 3 })
}

// This is based on the "antiquicksort" implementation by M. Douglas McIlroy.
// See https://www.cs.dartmouth.edu/~doug/mdmspe.pdf for more info.
type adversaryTestingData struct {
	t         *testing.T
	data      []int // item values, initialized to special gas value and changed by Less
	maxcmp    int   // number of comparisons allowed
	ncmp      int   // number of comparisons (calls to Less)
	nsolid    int   // number of elements that have been set to non-gas values
	candidate int   // guess at current pivot
	gas       int   // special value for unset elements, higher than everything else
}

func (d *adversaryTestingData) Len() int { return len(d.data) }

func (d *adversaryTestingData) Less(i, j int) bool {
	if d.ncmp >= d.maxcmp {
		d.t.Fatalf("used %d comparisons sorting adversary data with size %d", d.ncmp, len(d.data))
	}
	d.ncmp++

if d.data[i] == d.gas && d.data[j] == d.gas {
		if i == d.candidate {
			// freeze i
			d.data[i] = d.nsolid
			d.nsolid++
		} else {
			// freeze j
			d.data[j] = d.nsolid
			d.nsolid++
		}
	}

if d.data[i] == d.gas {
		d.candidate = i
	} else if d.data[j] == d.gas {
		d.candidate = j
	}

return d.data[i] < d.data[j]
}

func (d *adversaryTestingData) Swap(i, j int) {
	d.data[i], d.data[j] = d.data[j], d.data[i]
}

func newAdversaryTestingData(t *testing.T, size int, maxcmp int) *adversaryTestingData {
	gas := size - 1
	data := make([]int, size)
	for i := 0; i < size; i++ {
		data[i] = gas
	}
	return &adversaryTestingData{t: t, data: data, maxcmp: maxcmp, gas: gas}
}

func TestAdversary(t *testing.T) {
	const size = 10000            // large enough to distinguish between O(n^2) and O(n*log(n))
	maxcmp := size * lg(size) * 4 // the factor 4 was found by trial and error
	d := newAdversaryTestingData(t, size, maxcmp)
	Sort(d) // This should degenerate to heapsort.
	// Check data is fully populated and sorted.
	for i, v := range d.data {
		if v != i {
			t.Fatalf("adversary data not fully sorted")
		}
	}
}

func TestStableInts(t *testing.T) {
	data := ints
	Stable(IntSlice(data[0:]))
	if !IntsAreSorted(data[0:]) {
		t.Errorf("nsorted %v\n   got %v", ints, data)
	}
}

type intPairs []struct {
	a, b int
}

// IntPairs compare on a only.
func (d intPairs) Len() int           { return len(d) }
func (d intPairs) Less(i, j int) bool { return d[i].a < d[j].a }
func (d intPairs) Swap(i, j int)      { d[i], d[j] = d[j], d[i] }

// 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 IsSorted(data) {
		t.Fatalf("terrible rand.rand")
	}
	data.initB()
	Stable(data)
	if !IsSorted(data) {
		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()
	Stable(data)
	if !IsSorted(data) {
		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()
	Stable(data)
	if !IsSorted(data) {
		t.Errorf("Stable didn't sort %d ints", n)
	}
	if !data.inOrder() {
		t.Errorf("Stable wasn't stable on %d ints", n)
	}
}

var countOpsSizes = []int{1e2, 3e2, 1e3, 3e3, 1e4, 3e4, 1e5, 3e5, 1e6}

func countOps(t *testing.T, algo func(Interface), name string) {
	sizes := countOpsSizes
	if testing.Short() {
		sizes = sizes[:5]
	}
	if !testing.Verbose() {
		t.Skip("Counting skipped as non-verbose mode.")
	}
	for _, n := range sizes {
		td := testingData{
			desc:    name,
			t:       t,
			data:    make([]int, n),
			maxswap: 1<<31 - 1,
		}
		for i := 0; i < n; i++ {
			td.data[i] = rand.Intn(n / 5)
		}
		algo(&td)
		t.Logf("%s %8d elements: %11d Swap, %10d Less", name, n, td.nswap, td.ncmp)
	}
}

func TestCountStableOps(t *testing.T) { countOps(t, Stable, "Stable") }
func TestCountSortOps(t *testing.T)   { countOps(t, Sort, "Sort  ") }

func bench(b *testing.B, size int, algo func(Interface), name string) {
	if stringspkg.HasSuffix(testenv.Builder(), "-race") && size > 1e4 {
		b.Skip("skipping slow benchmark on race builder")
	}
	b.StopTimer()
	data := make(intPairs, size)
	x := ^uint32(0)
	for i := 0; i < b.N; i++ {
		for n := size - 3; n <= size+3; n++ {
			for i := 0; i < len(data); i++ {
				x += x
				x ^= 1
				if int32(x) < 0 {
					x ^= 0x88888eef
				}
				data[i].a = int(x % uint32(n/5))
			}
			data.initB()
			b.StartTimer()
			algo(data)
			b.StopTimer()
			if !IsSorted(data) {
				b.Errorf("%s did not sort %d ints", name, n)
			}
			if name == "Stable" && !data.inOrder() {
				b.Errorf("%s unstable on %d ints", name, n)
			}
		}
	}
}

func BenchmarkSort1e2(b *testing.B)   { bench(b, 1e2, Sort, "Sort") }
func BenchmarkStable1e2(b *testing.B) { bench(b, 1e2, Stable, "Stable") }
func BenchmarkSort1e4(b *testing.B)   { bench(b, 1e4, Sort, "Sort") }
func BenchmarkStable1e4(b *testing.B) { bench(b, 1e4, Stable, "Stable") }
func BenchmarkSort1e6(b *testing.B)   { bench(b, 1e6, Sort, "Sort") }
func BenchmarkStable1e6(b *testing.B) { bench(b, 1e6, Stable, "Stable") }

${this.title}

Code Editor : sort_test.go