使用快速排序算法,对slice进行排序。目前支持int,int8,int16,int32,int64,float32,float64,string,uint,uint8,uint16,uint32,uint64类型的slice
package main
import (
"fmt"
"time"
"github.com/hzwy23/quicksort"
)
func main() {
var t2 []int = []int{11, 31, 43, 3, 48, 23}
quicksort.QuickSort(t2)
fmt.Println("int", t2)
var t28 []int8 = []int8{11, 31, 43, 3, 48, 23}
quicksort.QuickSort(t28)
fmt.Println("int8", t28)
var t216 []int16 = []int16{11, 31, 43, 3, 48, 23}
quicksort.QuickSort(t216)
fmt.Println("int16", t216)
var t232 []int32 = []int32{11, 31, 43, 3, 48, 23}
quicksort.QuickSort(t232)
fmt.Println("int32", t232)
var t264 []int64 = []int64{11, 31, 43, 3, 48, 23}
quicksort.QuickSort(t264)
fmt.Println("int64", t264)
var t3 []string = []string{"123", "211", "abc", "def", "1sd", "6dw", "235"}
quicksort.QuickSort(t3)
fmt.Println("string", t3)
var tf32 []float32 = []float32{3.2345, 1.242345, 3.11234, 6.41234, 4.11235}
quicksort.QuickSort(tf32)
fmt.Println("float32", tf32)
var t4 []float64 = []float64{3.2345, 1.242345, 3.11234, 6.41234, 4.11235}
quicksort.QuickSort(t4)
fmt.Println("float64", t4)
var t8 []int8 = []int8{19, 43, 63, 27, 41, 24, 64, 24, 64, 34, 65, 24, 6, 1, 23, 5, 43, 6, -1, -5, -2, 23, 4}
quicksort.QuickSort(t8)
fmt.Println("t8", t8)
var t16 []int16 = []int16{19, 43, 63, 27, 41, 24, 64, 24, 64, 234, 645, 234, 6, 1, 23, 5, 43, 6, -1, -5, -2, 4123, 4234}
quicksort.QuickSort(t16)
fmt.Println("t16", t16)
var t32 []int32 = []int32{19, 43, 63, 27, 41, 24, 64, 24, 64, 234, 64345, 234, 6, 1, 23, 5, 43, 6, -1, -5, -2, 4123, 4234}
quicksort.QuickSort(t32)
fmt.Println("t32", t32)
var t64 []int64 = []int64{19, 43, 63, 27, 41, 24, 64, 24, 64, 234, 64345, 234, 6, 1, 23, 5, 43, 6, -1, -5, -2, 4123, 4234}
quicksort.QuickSort(t64)
fmt.Println("t64", t64)
var utint []uint = []uint{12, 3, 4, 5}
quicksort.QuickSort(utint)
fmt.Println("utint", utint)
var utint8 []uint8 = []uint8{12, 3, 4, 5}
quicksort.QuickSort(utint8)
fmt.Println("utint", utint8)
var utint16 []uint16 = []uint16{12, 3, 4, 5}
quicksort.QuickSort(utint16)
fmt.Println("utint", utint16)
var utint32 []uint32 = []uint32{12, 3, 4, 5}
quicksort.QuickSort(utint32)
fmt.Println("utint", utint32)
var utint64 []uint64 = []uint64{12, 3, 4, 5}
quicksort.QuickSort(utint64)
fmt.Println("utint", utint64)
}
通过反射方式,自动匹配slice类型
golang sdk包中已经实现了quicksort,但是在使用时,需要先转换一次,才能使用sdk中提供的quicksort方法。在处理不重复的slice时,在指定随机的slice数据测试中,sdk的quicksort性能比我这边提供的包性能稍逊一些,所以,在此贴出我的quicksort实现方式。不足之处,请各位指正与谅解。下边附上测试代码:
func TestSysSort(t *testing.T) {
fmt.Println("start system sort")
curTime := time.Now().Unix()
fmt.Println(time.Now().Format("2006-01-02 15:04:05"))
for i := 0; i < 10000000; i++ {
var t []int = []int{11, -1, 3, 4, 5, 12, 545, 67456, 34, 6, 3, 45, 7, 3, 5, 5, 6, 3, 3, 4, 7, 764, 465, 5423}
a := sort.IntSlice(t[0:])
sort.Sort(a)
}
fmt.Println(time.Now().Format("2006-01-02 15:04:05"))
endTime := time.Now().Unix()
fmt.Println("end system sort,costs time:", (endTime - curTime))
}
func TestMySort(t *testing.T) {
fmt.Println("start my sort")
curTime := time.Now().Unix()
fmt.Println(time.Now().Format("2006-01-02 15:04:05"))
for i := 0; i < 10000000; i++ {
var t []int = []int{11, -1, 3, 4, 5, 12, 545, 67456, 34, 6, 3, 45, 7, 3, 5, 5, 6, 3, 3, 4, 7, 764, 465, 5423}
quicksort.QuickSort(t)
}
fmt.Println(time.Now().Format("2006-01-02 15:04:05"))
endTime := time.Now().Unix()
fmt.Println("end my sort,costs time:", (endTime - curTime))
}
上述是测试代码,请自行测试,对比性能。