Algorithm
algorithm 算法包实现一些基本算法,sort,search,lrucache。
源码
- https://github.com/duke-git/lancet/blob/main/algorithm/sort.go
- https://github.com/duke-git/lancet/blob/main/algorithm/search.go
- https://github.com/duke-git/lancet/blob/main/algorithm/lru_cache.go
用法
go
import (
"github.com/duke-git/lancet/v2/algorithm"
)
目录
- BubbleSort
- InsertionSort
- SelectionSort
- ShellSort
- QuickSort
- HeapSort
- MergeSort
- CountSort
- BinarySearch
- BinaryIterativeSearch
- LinearSearch
- LRUCache
文档
BubbleSort
冒泡排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func BubbleSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.BubbleSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
InsertionSort
插入排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func InsertionSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type people struct {
Name string
Age int
}
// PeopleAageComparator sort people slice by age field
type peopleAgeComparator struct{}
// Compare implements github.com/duke-git/lancet/constraints/constraints.go/Comparator
func (pc *peopleAgeComparator) Compare(v1 any, v2 any) int {
p1, _ := v1.(people)
p2, _ := v2.(people)
//ascending order
if p1.Age < p2.Age {
return -1
} else if p1.Age > p2.Age {
return 1
}
return 0
}
func main() {
peoples := []people{
{Name: "a", Age: 20},
{Name: "b", Age: 10},
{Name: "c", Age: 17},
{Name: "d", Age: 8},
{Name: "e", Age: 28},
}
comparator := &peopleAgeComparator{}
algorithm.InsertionSort(peoples, comparator)
fmt.Println(peoples)
// Output:
// [{d 8} {b 10} {c 17} {a 20} {e 28}]
}
SelectionSort
选择排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func SelectionSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.SelectionSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
ShellSort
希尔排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func ShellSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.ShellSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
QuickSort
快速排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func QuickSort[T any](slice []T comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.QuickSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
HeapSort
堆排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func HeapSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.HeapSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
MergeSort
归并排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func MergeSort[T any](slice []T, comparator constraints.Comparator)
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
algorithm.MergeSort(numbers, comparator)
fmt.Println(numbers)
// Output:
// [1 2 3 4 5 6]
}
CountSort
计数排序,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func CountSort[T any](slice []T, comparator constraints.Comparator) []T
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{2, 1, 5, 3, 6, 4}
comparator := &intComparator{}
sortedNums := algorithm.CountSort(numbers, comparator)
fmt.Println(sortedNums)
// Output:
// [1 2 3 4 5 6]
}
BinarySearch
二分递归查找,返回元素索引,未找到元素返回-1,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func BinarySearch[T any](sortedSlice []T, target T, lowIndex, highIndex int, comparator constraints.Comparator) int
示例: 运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{1, 2, 3, 4, 5, 6, 7, 8}
comparator := &intComparator{}
result1 := algorithm.BinarySearch(numbers, 5, 0, len(numbers)-1, comparator)
result2 := algorithm.BinarySearch(numbers, 9, 0, len(numbers)-1, comparator)
fmt.Println(result1)
fmt.Println(result2)
// Output:
// 4
// -1
}
BinaryIterativeSearch
二分迭代查找,返回元素索引,未找到元素返回-1,参数comparator需要实现包constraints.Comparator。
函数签名:
go
func BinaryIterativeSearch[T any](sortedSlice []T, target T, lowIndex, highIndex int, comparator constraints.Comparator) int
示例: 运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
type intComparator struct{}
func (c *intComparator) Compare(v1 any, v2 any) int {
val1, _ := v1.(int)
val2, _ := v2.(int)
//ascending order
if val1 < val2 {
return -1
} else if val1 > val2 {
return 1
}
return 0
}
func main() {
numbers := []int{1, 2, 3, 4, 5, 6, 7, 8}
comparator := &intComparator{}
result1 := algorithm.BinaryIterativeSearch(numbers, 5, 0, len(numbers)-1, comparator)
result2 := algorithm.BinaryIterativeSearch(numbers, 9, 0, len(numbers)-1, comparator)
fmt.Println(result1)
fmt.Println(result2)
// Output:
// 4
// -1
}
LinearSearch
基于传入的相等函数线性查找元素,返回元素索引,未找到元素返回-1。
函数签名:
go
func LinearSearch[T any](slice []T, target T, equal func(a, b T) bool) int
示例: 运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
func main() {
numbers := []int{3, 4, 5, 3, 2, 1}
equalFunc := func(a, b int) bool {
return a == b
}
result1 := algorithm.LinearSearch(numbers, 3, equalFunc)
result2 := algorithm.LinearSearch(numbers, 6, equalFunc)
fmt.Println(result1)
fmt.Println(result2)
// Output:
// 0
// -1
}
LRUCache
lru算法实现缓存。
函数签名:
go
func NewLRUCache[K comparable, V any](capacity int) *LRUCache[K, V]
func (l *LRUCache[K, V]) Get(key K) (V, bool)
func (l *LRUCache[K, V]) Put(key K, value V)
func (l *LRUCache[K, V]) Delete(key K) bool
func (l *LRUCache[K, V]) Len() int
示例:运行
go
package main
import (
"fmt"
"github.com/duke-git/lancet/v2/algorithm"
)
func main() {
cache := algorithm.NewLRUCache[int, int](2)
cache.Put(1, 1)
cache.Put(2, 2)
result1, ok1 := cache.Get(1)
result2, ok2 := cache.Get(2)
result3, ok3 := cache.Get(3)
fmt.Println(result1, ok1)
fmt.Println(result2, ok2)
fmt.Println(result3, ok3)
fmt.Println(cache.Len())
ok := cache.Delete(2)
fmt.Println(ok)
// Output:
// 1 true
// 2 true
// 0 false
// 2
// true
}