feat(go): support new features with go code (#565)

* feat(go): support hash map chaining

* feat(go): support hash map open address

* feat(go): support simple hash

* feat(go): support top k heap

* feat(go): support subset sum I

* feat(go): support subset sum native

* feat(go): support subset sum II

* fix(go): fix some problem
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10 changed files with 666 additions and 13 deletions

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// File: subset_sum_i.go
// Created Time: 2023-06-24
// Author: Reanon (793584285@qq.com)
package chapter_backtracking
import "sort"
type subsetI struct{}
/* 回溯算法:子集和 I */
func (s subsetI) backtrack(start, target int, state, choices *[]int, res *[][]int) {
// 子集和等于 target 时,记录解
if target == 0 {
newState := append([]int{}, *state...)
*res = append(*res, newState)
return
}
// 遍历所有选择
// 剪枝二:从 start 开始遍历,避免生成重复子集
for i := start; i < len(*choices); i++ {
// 剪枝一:若子集和超过 target ,则直接结束循环
// 这是因为数组已排序,后边元素更大,子集和一定超过 target
if target-(*choices)[i] < 0 {
break
}
// 尝试:做出选择,更新 target, start
*state = append(*state, (*choices)[i])
// 进行下一轮选择
s.backtrack(i, target-(*choices)[i], state, choices, res)
// 回退:撤销选择,恢复到之前的状态
*state = (*state)[:len(*state)-1]
}
}
/* 求解子集和 I */
func subsetSumI(nums []int, target int) [][]int {
s := subsetI{}
state := make([]int, 0) // 状态(子集)
sort.Ints(nums) // 对 nums 进行排序
start := 0 // 遍历起始点
res := make([][]int, 0) // 结果列表(子集列表)
s.backtrack(start, target, &state, &nums, &res)
return res
}

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// File: subset_sum_i_naive.go
// Created Time: 2023-06-24
// Author: Reanon (793584285@qq.com)
package chapter_backtracking
type subset struct{}
/* 回溯算法:子集和 I */
func (s subset) backtrack(total, target int, state, choices *[]int, res *[][]int) {
// 子集和等于 target 时,记录解
if target == total {
newState := append([]int{}, *state...)
*res = append(*res, newState)
return
}
// 遍历所有选择
for i := 0; i < len(*choices); i++ {
// 剪枝:若子集和超过 target ,则跳过该选择
if total+(*choices)[i] > target {
continue
}
// 尝试:做出选择,更新元素和 total
*state = append(*state, (*choices)[i])
// 进行下一轮选择
s.backtrack(total+(*choices)[i], target, state, choices, res)
// 回退:撤销选择,恢复到之前的状态
*state = (*state)[:len(*state)-1]
}
}
/* 求解子集和 I包含重复子集 */
func subsetSumINaive(nums []int, target int) [][]int {
s := subset{}
state := make([]int, 0) // 状态(子集)
total := 0 // 子集和
res := make([][]int, 0) // 结果列表(子集列表)
s.backtrack(total, target, &state, &nums, &res)
return res
}

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@ -0,0 +1,50 @@
// File: subset_sum_ii.go
// Created Time: 2023-06-24
// Author: Reanon (793584285@qq.com)
package chapter_backtracking
import "sort"
type subsetII struct{}
/* 回溯算法:子集和 II */
func (s subsetII) backtrack(start, target int, state, choices *[]int, res *[][]int) {
// 子集和等于 target 时,记录解
if target == 0 {
newState := append([]int{}, *state...)
*res = append(*res, newState)
return
}
// 遍历所有选择
// 剪枝二:从 start 开始遍历,避免生成重复子集
// 剪枝三:从 start 开始遍历,避免重复选择同一元素
for i := start; i < len(*choices); i++ {
// 剪枝一:若子集和超过 target ,则直接结束循环
// 这是因为数组已排序,后边元素更大,子集和一定超过 target
if target-(*choices)[i] < 0 {
break
}
// 剪枝四:如果该元素与左边元素相等,说明该搜索分支重复,直接跳过
if i > start && (*choices)[i] == (*choices)[i-1] {
continue
}
// 尝试:做出选择,更新 target, start
*state = append(*state, (*choices)[i])
// 进行下一轮选择
s.backtrack(i+1, target-(*choices)[i], state, choices, res)
// 回退:撤销选择,恢复到之前的状态
*state = (*state)[:len(*state)-1]
}
}
/* 求解子集和 II */
func subsetSumII(nums []int, target int) [][]int {
s := subsetII{}
state := make([]int, 0) // 状态(子集)
sort.Ints(nums) // 对 nums 进行排序
start := 0 // 遍历起始点
res := make([][]int, 0) // 结果列表(子集列表)
s.backtrack(start, target, &state, &nums, &res)
return res
}

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// File: subset_sum_test.go
// Created Time: 2023-06-24
// Author: Reanon (793584285@qq.com)
package chapter_backtracking
import (
"fmt"
"strconv"
"testing"
. "github.com/krahets/hello-algo/pkg"
)
func TestSubsetSumINaive(t *testing.T) {
nums := []int{3, 4, 5}
target := 9
res := subsetSumINaive(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
fmt.Println("请注意,该方法输出的结果包含重复集合")
}
func TestSubsetSumI(t *testing.T) {
nums := []int{3, 4, 5}
target := 9
res := subsetSumI(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
}
func TestSubsetSumII(t *testing.T) {
nums := []int{4, 4, 5}
target := 9
res := subsetSumII(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
}

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// File: hash_map_chaining.go
// Created Time: 2023-06-23
// Author: Reanon (793584285@qq.com)
package chapter_hashing
import (
"fmt"
"strconv"
"strings"
)
/* 链式地址哈希表 */
type hashMapChaining struct {
size int // 键值对数量
capacity int // 哈希表容量
loadThres float64 // 触发扩容的负载因子阈值
extendRatio int // 扩容倍数
buckets [][]pair // 桶数组
}
/* 构造方法 */
func newHashMapChaining() *hashMapChaining {
buckets := make([][]pair, 4)
for i := 0; i < 4; i++ {
buckets[i] = make([]pair, 0)
}
return &hashMapChaining{
size: 0,
capacity: 4,
loadThres: 2 / 3.0,
extendRatio: 2,
buckets: buckets,
}
}
/* 哈希函数 */
func (m *hashMapChaining) hashFunc(key int) int {
return key % m.capacity
}
/* 负载因子 */
func (m *hashMapChaining) loadFactor() float64 {
return float64(m.size / m.capacity)
}
/* 查询操作 */
func (m *hashMapChaining) get(key int) string {
idx := m.hashFunc(key)
bucket := m.buckets[idx]
// 遍历桶,若找到 key 则返回对应 val
for _, p := range bucket {
if p.key == key {
return p.val
}
}
// 若未找到 key 则返回空字符串
return ""
}
/* 添加操作 */
func (m *hashMapChaining) put(key int, val string) {
// 当负载因子超过阈值时,执行扩容
if m.loadFactor() > m.loadThres {
m.extend()
}
idx := m.hashFunc(key)
// 遍历桶,若遇到指定 key ,则更新对应 val 并返回
for _, p := range m.buckets[idx] {
if p.key == key {
p.val = val
return
}
}
// 若无该 key ,则将键值对添加至尾部
p := pair{
key: key,
val: val,
}
m.buckets[idx] = append(m.buckets[idx], p)
m.size += 1
}
/* 删除操作 */
func (m *hashMapChaining) remove(key int) {
idx := m.hashFunc(key)
// 遍历桶,从中删除键值对
for i, p := range m.buckets[idx] {
if p.key == key {
// 切片删除
m.buckets[idx] = append(m.buckets[idx][:i], m.buckets[idx][i+1:]...)
break
}
}
m.size -= 1
}
/* 扩容哈希表 */
func (m *hashMapChaining) extend() {
// 暂存原哈希表
tmpBuckets := make([][]pair, len(m.buckets))
for i := 0; i < len(m.buckets); i++ {
tmpBuckets[i] = make([]pair, len(m.buckets[i]))
copy(tmpBuckets[i], m.buckets[i])
}
// 初始化扩容后的新哈希表
m.capacity *= m.extendRatio
m.buckets = make([][]pair, m.capacity)
for i := 0; i < m.capacity; i++ {
m.buckets[i] = make([]pair, 0)
}
m.size = 0
// 将键值对从原哈希表搬运至新哈希表
for _, bucket := range tmpBuckets {
for _, p := range bucket {
m.put(p.key, p.val)
}
}
}
/* 打印哈希表 */
func (m *hashMapChaining) print() {
var builder strings.Builder
for _, bucket := range m.buckets {
builder.WriteString("[")
for _, p := range bucket {
builder.WriteString(strconv.Itoa(p.key) + " -> " + p.val + " ")
}
builder.WriteString("]")
fmt.Println(builder.String())
builder.Reset()
}
}

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@ -0,0 +1,142 @@
// File: hash_map_open_addressing.go
// Created Time: 2023-06-23
// Author: Reanon (793584285@qq.com)
package chapter_hashing
import (
"fmt"
"strconv"
)
/* 链式地址哈希表 */
type hashMapOpenAddressing struct {
size int // 键值对数量
capacity int // 哈希表容量
loadThres float64 // 触发扩容的负载因子阈值
extendRatio int // 扩容倍数
buckets []pair // 桶数组
removed pair // 删除标记
}
/* 构造方法 */
func newHashMapOpenAddressing() *hashMapOpenAddressing {
buckets := make([]pair, 4)
return &hashMapOpenAddressing{
size: 0,
capacity: 4,
loadThres: 2 / 3.0,
extendRatio: 2,
buckets: buckets,
removed: pair{
key: -1,
val: "-1",
},
}
}
/* 哈希函数 */
func (m *hashMapOpenAddressing) hashFunc(key int) int {
return key % m.capacity
}
/* 负载因子 */
func (m *hashMapOpenAddressing) loadFactor() float64 {
return float64(m.size) / float64(m.capacity)
}
/* 查询操作 */
func (m *hashMapOpenAddressing) get(key int) string {
idx := m.hashFunc(key)
// 线性探测,从 index 开始向后遍历
for i := 0; i < m.capacity; i++ {
// 计算桶索引,越过尾部返回头部
j := (idx + 1) % m.capacity
// 若遇到空桶,说明无此 key ,则返回 null
if m.buckets[j] == (pair{}) {
return ""
}
// 若遇到指定 key ,则返回对应 val
if m.buckets[j].key == key && m.buckets[j] != m.removed {
return m.buckets[j].val
}
}
// 若未找到 key 则返回空字符串
return ""
}
/* 添加操作 */
func (m *hashMapOpenAddressing) put(key int, val string) {
// 当负载因子超过阈值时,执行扩容
if m.loadFactor() > m.loadThres {
m.extend()
}
idx := m.hashFunc(key)
// 线性探测,从 index 开始向后遍历
for i := 0; i < m.capacity; i++ {
// 计算桶索引,越过尾部返回头部
j := (idx + i) % m.capacity
// 若遇到空桶、或带有删除标记的桶,则将键值对放入该桶
if m.buckets[j] == (pair{}) || m.buckets[j] == m.removed {
m.buckets[j] = pair{
key: key,
val: val,
}
m.size += 1
return
}
// 若遇到指定 key ,则更新对应 val
if m.buckets[j].key == key {
m.buckets[j].val = val
}
}
}
/* 删除操作 */
func (m *hashMapOpenAddressing) remove(key int) {
idx := m.hashFunc(key)
// 遍历桶,从中删除键值对
// 线性探测,从 index 开始向后遍历
for i := 0; i < m.capacity; i++ {
// 计算桶索引,越过尾部返回头部
j := (idx + 1) % m.capacity
// 若遇到空桶,说明无此 key ,则直接返回
if m.buckets[j] == (pair{}) {
return
}
// 若遇到指定 key ,则标记删除并返回
if m.buckets[j].key == key {
m.buckets[j] = m.removed
m.size -= 1
}
}
}
/* 扩容哈希表 */
func (m *hashMapOpenAddressing) extend() {
// 暂存原哈希表
tmpBuckets := make([]pair, len(m.buckets))
copy(tmpBuckets, m.buckets)
// 初始化扩容后的新哈希表
m.capacity *= m.extendRatio
m.buckets = make([]pair, m.capacity)
m.size = 0
// 将键值对从原哈希表搬运至新哈希表
for _, p := range tmpBuckets {
if p != (pair{}) && p != m.removed {
m.put(p.key, p.val)
}
}
}
/* 打印哈希表 */
func (m *hashMapOpenAddressing) print() {
for _, p := range m.buckets {
if p != (pair{}) {
fmt.Println(strconv.Itoa(p.key) + " -> " + p.val)
} else {
fmt.Println("nil")
}
}
}

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@ -6,6 +6,7 @@ package chapter_hashing
import (
"fmt"
"strconv"
"testing"
. "github.com/krahets/hello-algo/pkg"
@ -13,43 +14,113 @@ import (
func TestHashmap(t *testing.T) {
/* 初始化哈希表 */
mapp := make(map[int]string)
hmap := make(map[int]string)
/* 添加操作 */
// 在哈希表中添加键值对 (key, value)
mapp[12836] = "小哈"
mapp[15937] = "小啰"
mapp[16750] = "小算"
mapp[13276] = "小法"
mapp[10583] = "小鸭"
hmap[12836] = "小哈"
hmap[15937] = "小啰"
hmap[16750] = "小算"
hmap[13276] = "小法"
hmap[10583] = "小鸭"
fmt.Println("\n添加完成后哈希表为\nKey -> Value")
PrintMap(mapp)
PrintMap(hmap)
/* 查询操作 */
// 向哈希表输入键 key ,得到值 value
name := mapp[15937]
name := hmap[15937]
fmt.Println("\n输入学号 15937 ,查询到姓名 ", name)
/* 删除操作 */
// 在哈希表中删除键值对 (key, value)
delete(mapp, 10583)
delete(hmap, 10583)
fmt.Println("\n删除 10583 后,哈希表为\nKey -> Value")
PrintMap(mapp)
PrintMap(hmap)
/* 遍历哈希表 */
// 遍历键值对 key->value
fmt.Println("\n遍历键值对 Key->Value")
for key, value := range mapp {
for key, value := range hmap {
fmt.Println(key, "->", value)
}
// 单独遍历键 key
fmt.Println("\n单独遍历键 Key")
for key := range mapp {
for key := range hmap {
fmt.Println(key)
}
// 单独遍历值 value
fmt.Println("\n单独遍历值 Value")
for _, value := range mapp {
for _, value := range hmap {
fmt.Println(value)
}
}
func TestHashMapChaining(t *testing.T) {
/* 初始化哈希表 */
hmap := newHashMapChaining()
/* 添加操作 */
// 在哈希表中添加键值对 (key, value)
hmap.put(12836, "小哈")
hmap.put(15937, "小啰")
hmap.put(16750, "小算")
hmap.put(13276, "小法")
hmap.put(10583, "小鸭")
fmt.Println("\n添加完成后哈希表为\nKey -> Value")
hmap.print()
/* 查询操作 */
// 向哈希表输入键 key ,得到值 value
name := hmap.get(15937)
fmt.Println("\n输入学号 15937 ,查询到姓名 ", name)
/* 删除操作 */
// 在哈希表中删除键值对 (key, value)
hmap.remove(12836)
fmt.Println("\n删除 12836 后,哈希表为\nKey -> Value")
hmap.print()
}
func TestHashMapOpenAddressing(t *testing.T) {
/* 初始化哈希表 */
hmap := newHashMapOpenAddressing()
/* 添加操作 */
// 在哈希表中添加键值对 (key, value)
hmap.put(12836, "小哈")
hmap.put(15937, "小啰")
hmap.put(16750, "小算")
hmap.put(13276, "小法")
hmap.put(10583, "小鸭")
fmt.Println("\n添加完成后哈希表为\nKey -> Value")
hmap.print()
/* 查询操作 */
// 向哈希表输入键 key ,得到值 value
name := hmap.get(13276)
fmt.Println("\n输入学号 13276 ,查询到姓名 ", name)
/* 删除操作 */
// 在哈希表中删除键值对 (key, value)
hmap.remove(16750)
fmt.Println("\n删除 16750 后,哈希表为\nKey -> Value")
hmap.print()
}
func TestSimpleHash(t *testing.T) {
var hash int
key := "Hello 算法"
hash = addHash(key)
fmt.Println("加法哈希值为 " + strconv.Itoa(hash))
hash = mulHash(key)
fmt.Println("乘法哈希值为 " + strconv.Itoa(hash))
hash = xorHash(key)
fmt.Println("异或哈希值为 " + strconv.Itoa(hash))
hash = rotHash(key)
fmt.Println("旋转哈希值为 " + strconv.Itoa(hash))
}

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@ -0,0 +1,55 @@
// File: simple_hash.go
// Created Time: 2023-06-23
// Author: Reanon (793584285@qq.com)
package chapter_hashing
import "fmt"
/* 加法哈希 */
func addHash(key string) int {
var hash int64
var modulus int64
modulus = 1000000007
for _, b := range []byte(key) {
hash = (hash + int64(b)) % modulus
}
return int(hash)
}
/* 乘法哈希 */
func mulHash(key string) int {
var hash int64
var modulus int64
modulus = 1000000007
for _, b := range []byte(key) {
hash = (31*hash + int64(b)) % modulus
}
return int(hash)
}
/* 异或哈希 */
func xorHash(key string) int {
hash := 0
modulus := 1000000007
for _, b := range []byte(key) {
fmt.Println(int(b))
hash ^= int(b)
hash = (31*hash + int(b)) % modulus
}
return hash & modulus
}
/* 旋转哈希 */
func rotHash(key string) int {
var hash int64
var modulus int64
modulus = 1000000007
for _, b := range []byte(key) {
hash = ((hash << 4) ^ (hash >> 28) ^ int64(b)) % modulus
}
return int(hash)
}

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@ -7,6 +7,7 @@ package chapter_heap
import (
"container/heap"
"fmt"
"strconv"
"testing"
. "github.com/krahets/hello-algo/pkg"
@ -88,3 +89,13 @@ func TestMyHeap(t *testing.T) {
isEmpty := maxHeap.isEmpty()
fmt.Printf("\n堆是否为空 %t\n", isEmpty)
}
func TestTopKHeap(t *testing.T) {
/* 初始化堆 */
// 初始化大顶堆
nums := []int{1, 7, 6, 3, 2}
k := 3
res := topKHeap(nums, k)
fmt.Printf("最大的 " + strconv.Itoa(k) + " 个元素为")
PrintHeap(*res)
}

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@ -0,0 +1,49 @@
// File: top_k.go
// Created Time: 2023-06-24
// Author: Reanon (793584285@qq.com)
package chapter_heap
import "container/heap"
type minHeap []any
func (h *minHeap) Len() int { return len(*h) }
func (h *minHeap) Less(i, j int) bool { return (*h)[i].(int) < (*h)[j].(int) }
func (h *minHeap) Swap(i, j int) { (*h)[i], (*h)[j] = (*h)[j], (*h)[i] }
// Push heap.Interface 的方法,实现推入元素到堆
func (h *minHeap) Push(x any) {
*h = append(*h, x.(int))
}
// Pop heap.Interface 的方法,实现弹出堆顶元素
func (h *minHeap) Pop() any {
// 待出堆元素存放在最后
last := (*h)[len(*h)-1]
*h = (*h)[:len(*h)-1]
return last
}
// Top 获取堆顶元素
func (h *minHeap) Top() any {
return (*h)[0]
}
func topKHeap(nums []int, k int) *minHeap {
h := &minHeap{}
heap.Init(h)
// 将数组的前 k 个元素入堆
for i := 0; i < k; i++ {
heap.Push(h, nums[i])
}
// 从第 k+1 个元素开始,保持堆的长度为 k
for i := k; i < len(nums); i++ {
// 若当前元素大于堆顶元素,则将堆顶元素出堆、当前元素入堆
if nums[i] > h.Top().(int) {
heap.Pop(h)
heap.Push(h, nums[i])
}
}
return h
}