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sort_test.go
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// Copyright 2024 Hao Zhang
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package sort
import (
"fmt"
"math/rand"
stdsort "sort"
"testing"
"time"
)
func TestContrast(t *testing.T) {
testPerformance(Bubble[int], "PopSort")
testPerformance(Select[int], "SelectSort")
testPerformance(Insert[int], "InsertSort")
testPerformance(Shell[int], "ShellSort")
testPerformance(Merge[int], "MergeSort")
testPerformance(Heap[int], "HeapSort")
testPerformance(Quick[int], "QuickSort")
testPerformance(func(p []int) { stdsort.Sort(stdsort.IntSlice(p)) }, "Go library sort.Ints")
}
const (
testFreq = 1
inputSize = 10000
randInputUpLimit = 100000000
dupInputUpLimit = 10
)
var (
inputData = make([]int, inputSize)
)
func testPerformance(sortAlg func(p []int), algName string) {
performanceRandomInput(sortAlg, algName)
// performanceDupInput(sortAlg, algName)
// performanceSortedInput(sortAlg, algName)
// performanceReverseSortedInput(sortAlg, algName)
fmt.Println("-------------------------------------")
}
func performanceRandomInput(sortAlg func(p []int), algName string) {
fmt.Printf("%v : random(%v):\n", algName, inputSize)
for pass := 0; pass < testFreq; pass++ {
genRandomData(inputData, randInputUpLimit)
start := time.Now()
sortAlg(inputData)
elapsed := time.Since(start)
if !stdsort.IntsAreSorted(inputData) {
panic("failed to sort: " + algName)
}
fmt.Print(elapsed.String(), " ")
}
fmt.Println()
}
func performanceDupInput(sortAlg func(p []int), algName string) {
fmt.Printf("%v : dup(%v):\n", algName, inputSize)
for pass := 0; pass < testFreq; pass++ {
genRandomData(inputData, dupInputUpLimit)
start := time.Now()
sortAlg(inputData)
elapsed := time.Since(start)
if !stdsort.IntsAreSorted(inputData) {
panic("failed to sort")
}
fmt.Print(elapsed.String(), " ")
}
fmt.Println()
}
func performanceSortedInput(sortAlg func(p []int), algName string) {
fmt.Printf("%v : sorted(%v):\n", algName, inputSize)
genSortedData(inputData)
for pass := 0; pass < testFreq; pass++ {
start := time.Now()
sortAlg(inputData)
elapsed := time.Since(start)
if !stdsort.IntsAreSorted(inputData) {
panic("failed to sort")
}
fmt.Print(elapsed.String(), " ")
}
fmt.Println()
}
func performanceReverseSortedInput(sortAlg func(p []int), algName string) {
fmt.Printf("%v : reverse(%v):\n", algName, inputSize)
for pass := 0; pass < testFreq; pass++ {
genReverseSortedData(inputData)
start := time.Now()
sortAlg(inputData)
elapsed := time.Since(start)
if !stdsort.IntsAreSorted(inputData) {
panic("failed to sort")
}
fmt.Print(elapsed.String(), " ")
}
fmt.Println()
}
func genRandomData(data []int, uplimit int) {
rand.Seed(14)
for i := range data {
data[i] = rand.Intn(uplimit)
}
}
func genSortedData(data []int) {
for i := range data {
data[i] = i
}
}
func genReverseSortedData(data []int) {
n := len(data)
for i := range data {
n--
data[i] = n
}
}
func Test_cutOff(t *testing.T) {
//sli := stdsort.IntSlice{9,1,1,4,4,5,6,7,3,2}
sli := stdsort.IntSlice{9, 8, 7, 4, 4, 5, 6, 7, 3, 2}
m := cutOff(sli, 0, 9)
t.Log(m, sli)
}