algorithm/leetcode-master
1
0
Fork 0
mirror of https://github.com/youngyangyang04/leetcode-master.git synced 2025-07-08 16:54:50 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'master' of github.com:youngyangyang04/leetcode-master

Browse Source
This commit is contained in:
programmercarl
2022-04-26 11:04:51 +08:00
parent fa2e1b097b 733ffa46c3
commit fa029d79b3
22 changed files with 685 additions and 53 deletions
Download Patch File Download Diff File Expand all files Collapse all files

BIN
pics/.DS_Store vendored
View File

Binary file not shown.

49
problems/0037.解数独.md
View File

@ -439,6 +439,55 @@ var solveSudoku = function(board) {
};
```
### TypeScript
```typescript
/**
Do not return anything, modify board in-place instead.
*/
function isValid(col: number, row: number, val: string, board: string[][]): boolean {
let n: number = board.length;
// 列向检查
for (let rowIndex = 0; rowIndex < n; rowIndex++) {
if (board[rowIndex][col] === val) return false;
}
// 横向检查
for (let colIndex = 0; colIndex < n; colIndex++) {
if (board[row][colIndex] === val) return false;
}
// 九宫格检查
const startX = Math.floor(col / 3) * 3;
const startY = Math.floor(row / 3) * 3;
for (let rowIndex = startY; rowIndex < startY + 3; rowIndex++) {
for (let colIndex = startX; colIndex < startX + 3; colIndex++) {
if (board[rowIndex][colIndex] === val) return false;
}
}
return true;
}
function solveSudoku(board: string[][]): void {
let n: number = 9;
backTracking(n, board);
function backTracking(n: number, board: string[][]): boolean {
for (let row = 0; row < n; row++) {
for (let col = 0; col < n; col++) {
if (board[row][col] === '.') {
for (let i = 1; i <= n; i++) {
if (isValid(col, row, String(i), board)) {
board[row][col] = String(i);
if (backTracking(n, board) === true) return true;
board[row][col] = '.';
}
}
return false;
}
}
}
return true;
}
};
```
### C
```C

28
problems/0046.全排列.md
View File

@ -331,6 +331,34 @@ var permute = function(nums) {
```
## TypeScript
```typescript
function permute(nums: number[]): number[][] {
const resArr: number[][] = [];
const helperSet: Set<number> = new Set();
backTracking(nums, []);
return resArr;
function backTracking(nums: number[], route: number[]): void {
if (route.length === nums.length) {
resArr.push(route.slice());
return;
}
let tempVal: number;
for (let i = 0, length = nums.length; i < length; i++) {
tempVal = nums[i];
if (!helperSet.has(tempVal)) {
route.push(tempVal);
helperSet.add(tempVal);
backTracking(nums, route);
route.pop();
helperSet.delete(tempVal);
}
}
}
};
```
### C
```c

28
problems/0047.全排列II.md
View File

@ -292,6 +292,34 @@ var permuteUnique = function (nums) {
```
### TypeScript
```typescript
function permuteUnique(nums: number[]): number[][] {
nums.sort((a, b) => a - b);
const resArr: number[][] = [];
const usedArr: boolean[] = new Array(nums.length).fill(false);
backTracking(nums, []);
return resArr;
function backTracking(nums: number[], route: number[]): void {
if (route.length === nums.length) {
resArr.push(route.slice());
return;
}
for (let i = 0, length = nums.length; i < length; i++) {
if (i > 0 && nums[i] === nums[i - 1] && usedArr[i - 1] === false) continue;
if (usedArr[i] === false) {
route.push(nums[i]);
usedArr[i] = true;
backTracking(nums, route);
usedArr[i] = false;
route.pop();
}
}
}
};
```
### Swift
```swift

52
problems/0051.N皇后.md
View File

@ -457,6 +457,58 @@ var solveNQueens = function(n) {
};
```
## TypeScript
```typescript
function solveNQueens(n: number): string[][] {
const board: string[][] = new Array(n).fill(0).map(_ => new Array(n).fill('.'));
const resArr: string[][] = [];
backTracking(n, 0, board);
return resArr;
function backTracking(n: number, rowNum: number, board: string[][]): void {
if (rowNum === n) {
resArr.push(transformBoard(board));
return;
}
for (let i = 0; i < n; i++) {
if (isValid(i, rowNum, board) === true) {
board[rowNum][i] = 'Q';
backTracking(n, rowNum + 1, board);
board[rowNum][i] = '.';
}
}
}
};
function isValid(col: number, row: number, board: string[][]): boolean {
const n: number = board.length;
if (col < 0 || col >= n || row < 0 || row >= n) return false;
// 检查列
for (let row of board) {
if (row[col] === 'Q') return false;
}
// 检查45度方向
let x: number = col,
y: number = row;
while (y >= 0 && x < n) {
if (board[y--][x++] === 'Q') return false;
}
// 检查135度方向
x = col;
y = row;
while (x >= 0 && y >= 0) {
if (board[y--][x--] === 'Q') return false;
}
return true;
}
function transformBoard(board: string[][]): string[] {
const resArr = [];
for (let row of board) {
resArr.push(row.join(''));
}
return resArr;
}
```
### Swift
```swift

35
problems/0053.最大子序和.md
View File

@ -230,6 +230,41 @@ var maxSubArray = function(nums) {
};
```
### TypeScript
**贪心**
```typescript
function maxSubArray(nums: number[]): number {
let curSum: number = 0;
let resMax: number = -Infinity;
for (let i = 0, length = nums.length; i < length; i++) {
curSum += nums[i];
resMax = Math.max(curSum, resMax);
if (curSum < 0) curSum = 0;
}
return resMax;
};
```
**动态规划**
```typescript
// 动态规划
function maxSubArray(nums: number[]): number {
const length = nums.length;
if (length === 0) return 0;
const dp: number[] = [];
dp[0] = nums[0];
let resMax: number = nums[0];
for (let i = 1; i < length; i++) {
dp[i] = Math.max(dp[i - 1] + nums[i], nums[i]);
resMax = Math.max(resMax, dp[i]);
}
return resMax;
};
```
-----------------------

21
problems/0098.验证二叉搜索树.md
View File

@ -408,6 +408,27 @@ class Solution:
return True
```
```python
# 遵循Carl的写法，只添加了节点判断的部分
class Solution:
def isValidBST(self, root: TreeNode) -> bool:
# method 2
que, pre = [], None
while root or que:
while root:
que.append(root)
root = root.left
root = que.pop()
# 对第一个节点只做记录，对后面的节点进行比较
if pre is None:
pre = root.val
else:
if pre >= root.val: return False
pre = root.val
root = root.right
return True
```
## Go
```Go

35
problems/0101.对称二叉树.md
View File

@ -437,41 +437,6 @@ class Solution:
return True
```
层序遍历
```python
class Solution:
def isSymmetric(self, root: TreeNode) -> bool:
if not root: return True
que, cnt = [[root.left, root.right]], 1
while que:
nodes, tmp, sign = que.pop(), [], False
for node in nodes:
if not node:
tmp.append(None)
tmp.append(None)
else:
if node.left:
tmp.append(node.left)
sign = True
else:
tmp.append(None)
if node.right:
tmp.append(node.right)
sign = True
else:
tmp.append(None)
p1, p2 = 0, len(nodes) - 1
while p1 < p2:
if (not nodes[p1] and nodes[p2]) or (nodes[p1] and not nodes[p2]): return False
elif nodes[p1] and nodes[p2] and nodes[p1].val != nodes[p2].val: return False
p1 += 1
p2 -= 1
if sign: que.append(tmp)
cnt += 1
return True
```
## Go
```go

2
problems/0106.从中序与后序遍历序列构造二叉树.md
View File

@ -790,7 +790,7 @@ func findRootIndex(target int,inorder []int) int{
```javascript
var buildTree = function(inorder, postorder) {
if (!preorder.length) return null;
if (!inorder.length) return null;
const rootVal = postorder.pop(); // 从后序遍历的数组中获取中间节点的值， 即数组最后一个值
let rootIndex = inorder.indexOf(rootVal); // 获取中间节点在中序遍历中的下标
const root = new TreeNode(rootVal); // 创建中间节点

38
problems/0108.将有序数组转换为二叉搜索树.md
View File

@ -355,6 +355,7 @@ func sortedArrayToBST(nums []int) *TreeNode {
```
## JavaScript
递归
```javascript
var sortedArrayToBST = function (nums) {
@ -372,7 +373,44 @@ var sortedArrayToBST = function (nums) {
return buildTree(nums, 0, nums.length - 1);
};
```
迭代
```JavaScript
var sortedArrayToBST = function(nums) {
if(nums.length===0){
return null;
}
let root=new TreeNode(0); //初始根节点
let nodeQue=[root]; //放遍历的节点,并初始化
let leftQue=[0]; //放左区间的下标,初始化
let rightQue=[nums.length-1]; // 放右区间的下标
while(nodeQue.length){
let curNode=nodeQue.pop();
let left=leftQue.pop();
let right=rightQue.pop();
let mid=left+Math.floor((right-left)/2);
curNode.val=nums[mid]; //将下标为mid的元素给中间节点
// 处理左区间
if(left<=mid-1){
curNode.left=new TreeNode(0);
nodeQue.push(curNode.left);
leftQue.push(left);
rightQue.push(mid-1);
}
// 处理右区间
if(right>=mid+1){
curNode.right=new TreeNode(0);
nodeQue.push(curNode.right);
leftQue.push(mid+1);
rightQue.push(right);
}
}
return root;
};
```
## TypeScript
```typescript

2
problems/0122.买卖股票的最佳时机II.md
View File

@ -40,7 +40,7 @@
本题首先要清楚两点：
* 只有一只股票！
* 当前只有买股票或者买股票的操作
* 当前只有买股票或者卖股票的操作
想获得利润至少要两天为一个交易单元。

70
problems/0202.快乐数.md
View File

@ -315,5 +315,75 @@ class Solution {
}
```
C:
```C
typedef struct HashNodeTag {
int key; /* num */
struct HashNodeTag *next;
}HashNode;
/* Calcualte the hash key */
static inline int hash(int key, int size) {
int index = key % size;
return (index > 0) ? (index) : (-index);
}
/* Calculate the sum of the squares of its digits*/
static inline int calcSquareSum(int num) {
unsigned int sum = 0;
while(num > 0) {
sum += (num % 10) * (num % 10);
num = num/10;
}
return sum;
}
#define HASH_TABLE_SIZE (32)
bool isHappy(int n){
int sum = n;
int index = 0;
bool bHappy = false;
bool bExit = false;
/* allocate the memory for hash table with chaining method*/
HashNode ** hashTable = (HashNode **)calloc(HASH_TABLE_SIZE, sizeof(HashNode));
while(bExit == false) {
/* check if n has been calculated */
index = hash(n, HASH_TABLE_SIZE);
HashNode ** p = hashTable + index;
while((*p) && (bExit == false)) {
/* Check if this num was calculated, if yes, this will be endless loop */
if((*p)->key == n) {
bHappy = false;
bExit = true;
}
/* move to next node of the same index */
p = &((*p)->next);
}
/* put n intot hash table */
HashNode * newNode = (HashNode *)malloc(sizeof(HashNode));
newNode->key = n;
newNode->next = NULL;
*p = newNode;
sum = calcSquareSum(n);
if(sum == 1) {
bHappy = true;
bExit = true;
}
else {
n = sum;
}
}
return bHappy;
}
```
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

10
problems/0232.用栈实现队列.md
View File

@ -275,15 +275,11 @@ func (this *MyQueue) Pop() int {
/** Get the front element. */
func (this *MyQueue) Peek() int {
for len(this.stack) != 0 {
val := this.stack[len(this.stack)-1]
this.stack = this.stack[:len(this.stack)-1]
this.back = append(this.back, val)
}
if len(this.back) == 0 {
val := this.Pop()
if val == 0 {
return 0
}
val := this.back[len(this.back)-1]
this.back = append(this.back, val)
return val
}

44
problems/0332.重新安排行程.md
View File

@ -506,6 +506,50 @@ var findItinerary = function(tickets) {
```
### TypeScript
```typescript
function findItinerary(tickets: string[][]): string[] {
/**
TicketsMap 实例：
{ NRT: Map(1) { 'JFK' => 1 }, JFK: Map(2) { 'KUL' => 1, 'NRT' => 1 } }
这里选择Map数据结构的原因是：与Object类型的一个主要差异是，Map实例会维护键值对的插入顺序。
*/
type TicketsMap = {
[index: string]: Map<string, number>
};
tickets.sort((a, b) => {
return a[1] < b[1] ? -1 : 1;
});
const ticketMap: TicketsMap = {};
for (const [from, to] of tickets) {
if (ticketMap[from] === undefined) {
ticketMap[from] = new Map();
}
ticketMap[from].set(to, (ticketMap[from].get(to) || 0) + 1);
}
const resRoute = ['JFK'];
backTracking(tickets.length, ticketMap, resRoute);
return resRoute;
function backTracking(ticketNum: number, ticketMap: TicketsMap, route: string[]): boolean {
if (route.length === ticketNum + 1) return true;
const targetMap = ticketMap[route[route.length - 1]];
if (targetMap !== undefined) {
for (const [to, count] of targetMap.entries()) {
if (count > 0) {
route.push(to);
targetMap.set(to, count - 1);
if (backTracking(ticketNum, ticketMap, route) === true) return true;
targetMap.set(to, count);
route.pop();
}
}
}
return false;
}
};
```
### Swift
直接迭代tickets数组：

32
problems/0349.两个数组的交集.md
View File

@ -281,6 +281,38 @@ impl Solution {
}
}
```
C:
```C
int* intersection1(int* nums1, int nums1Size, int* nums2, int nums2Size, int* returnSize){
int nums1Cnt[1000] = {0};
int lessSize = nums1Size < nums2Size ? nums1Size : nums2Size;
int * result = (int *) calloc(lessSize, sizeof(int));
int resultIndex = 0;
int* tempNums;
int i;
/* Calculate the number's counts for nums1 array */
for(i = 0; i < nums1Size; i ++) {
nums1Cnt[nums1[i]]++;
}
/* Check if the value in nums2 is existing in nums1 count array */
for(i = 0; i < nums2Size; i ++) {
if(nums1Cnt[nums2[i]] > 0) {
result[resultIndex] = nums2[i];
resultIndex ++;
/* Clear this count to avoid duplicated value */
nums1Cnt[nums2[i]] = 0;
}
}
* returnSize = resultIndex;
return result;
}
```
## 相关题目
* 350.两个数组的交集 II

50
problems/0376.摆动序列.md
View File

@ -298,5 +298,55 @@ var wiggleMaxLength = function(nums) {
};
```
### TypeScript
**贪心**
```typescript
function wiggleMaxLength(nums: number[]): number {
let length: number = nums.length;
if (length <= 1) return length;
let preDiff: number = 0;
let curDiff: number = 0;
let count: number = 1;
for (let i = 1; i < length; i++) {
curDiff = nums[i] - nums[i - 1];
if (
(preDiff <= 0 && curDiff > 0) ||
(preDiff >= 0 && curDiff < 0)
) {
preDiff = curDiff;
count++;
}
}
return count;
};
```
**动态规划**
```typescript
function wiggleMaxLength(nums: number[]): number {
const length: number = nums.length;
if (length <= 1) return length;
const dp: number[][] = new Array(length).fill(0).map(_ => []);
dp[0][0] = 1; // 第一个数作为波峰
dp[0][1] = 1; // 第一个数作为波谷
for (let i = 1; i < length; i++) {
dp[i][0] = 1;
dp[i][1] = 1;
for (let j = 0; j < i; j++) {
if (nums[j] < nums[i]) dp[i][0] = Math.max(dp[i][0], dp[j][1] + 1);
}
for (let j = 0; j < i; j++) {
if (nums[j] > nums[i]) dp[i][1] = Math.max(dp[i][1], dp[j][0] + 1);
}
}
return Math.max(dp[length - 1][0], dp[length - 1][1]);
};
```
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

43
problems/0455.分发饼干.md
View File

@ -209,7 +209,50 @@ var findContentChildren = function(g, s) {
```
### TypeScript
```typescript
// 大饼干尽量喂胃口大的
function findContentChildren(g: number[], s: number[]): number {
g.sort((a, b) => a - b);
s.sort((a, b) => a - b);
const childLength: number = g.length,
cookieLength: number = s.length;
let curChild: number = childLength - 1,
curCookie: number = cookieLength - 1;
let resCount: number = 0;
while (curChild >= 0 && curCookie >= 0) {
if (g[curChild] <= s[curCookie]) {
curCookie--;
resCount++;
}
curChild--;
}
return resCount;
};
```
```typescript
// 小饼干先喂饱小胃口的
function findContentChildren(g: number[], s: number[]): number {
g.sort((a, b) => a - b);
s.sort((a, b) => a - b);
const childLength: number = g.length,
cookieLength: number = s.length;
let curChild: number = 0,
curCookie: number = 0;
while (curChild < childLength && curCookie < cookieLength) {
if (g[curChild] <= s[curCookie]) {
curChild++;
}
curCookie++;
}
return curChild;
};
```
### C
```c
int cmp(int* a, int* b) {
return *a - *b;

28
problems/0491.递增子序列.md
View File

@ -396,7 +396,35 @@ var findSubsequences = function(nums) {
```
## TypeScript
```typescript
function findSubsequences(nums: number[]): number[][] {
const resArr: number[][] = [];
backTracking(nums, 0, []);
return resArr;
function backTracking(nums: number[], startIndex: number, route: number[]): void {
let length: number = nums.length;
if (route.length >= 2) {
resArr.push(route.slice());
}
const usedSet: Set<number> = new Set();
for (let i = startIndex; i < length; i++) {
if (
nums[i] < route[route.length - 1] ||
usedSet.has(nums[i])
) continue;
usedSet.add(nums[i]);
route.push(nums[i]);
backTracking(nums, i + 1, route);
route.pop();
}
}
};
```
### C
```c
int* path;
int pathTop;

13
problems/0704.二分查找.md
View File

@ -276,7 +276,7 @@ func search(nums []int, target int) int {
```
**JavaScript:**
（版本一）左闭右闭区间
（版本一）左闭右闭区间 [left, right]
```js
/**
@ -285,10 +285,12 @@ func search(nums []int, target int) int {
* @return {number}
*/
var search = function(nums, target) {
// right是数组最后一个数的下标，num[right]在查找范围内，是左闭右闭区间
let left = 0, right = nums.length - 1;
// 使用左闭右闭区间
// 当left=right时，由于nums[right]在查找范围内，所以要包括此情况
while (left <= right) {
let mid = left + Math.floor((right - left)/2);
// 如果中间数大于目标值，要把中间数排除查找范围，所以右边界更新为mid-1；如果右边界更新为mid，那中间数还在下次查找范围内
if (nums[mid] > target) {
right = mid - 1; // 去左面闭区间寻找
} else if (nums[mid] < target) {
@ -300,7 +302,7 @@ var search = function(nums, target) {
return -1;
};
```
（版本二）左闭右开区间
（版本二）左闭右开区间 [left, right)
```js
/**
@ -309,10 +311,13 @@ var search = function(nums, target) {
* @return {number}
*/
var search = function(nums, target) {
// right是数组最后一个数的下标+1，nums[right]不在查找范围内，是左闭右开区间
let left = 0, right = nums.length;
// 使用左闭右开区间 [left, right)
// 当left=right时，由于nums[right]不在查找范围，所以不必包括此情况
while (left < right) {
let mid = left + Math.floor((right - left)/2);
// 如果中间值大于目标值，中间值不应在下次查找的范围内，但中间值的前一个值应在；
// 由于right本来就不在查找范围内，所以将右边界更新为中间值，如果更新右边界为mid-1则将中间值的前一个值也踢出了下次寻找范围
if (nums[mid] > target) {
right = mid; // 去左区间寻找
} else if (nums[mid] < target) {

67
problems/前序/ACM模式如何构建二叉树.md
View File

@ -220,6 +220,73 @@ int main() {
## Go
```Go
package main
import "fmt"
type TreeNode struct {
Val int
Left *TreeNode
Right *TreeNode
}
func constructBinaryTree(array []int) *TreeNode {
var root *TreeNode
nodes := make([]*TreeNode, len(array))
// 初始化二叉树节点
for i := 0; i < len(nodes); i++ {
var node *TreeNode
if array[i] != -1 {
node = &TreeNode{Val: array[i]}
}
nodes[i] = node
if i == 0 {
root = node
}
}
// 串联节点
for i := 0; i*2+2 < len(array); i++ {
if nodes[i] != nil {
nodes[i].Left = nodes[i*2+1]
nodes[i].Right = nodes[i*2+2]
}
}
return root
}
func printBinaryTree(root *TreeNode, n int) {
var queue []*TreeNode
if root != nil {
queue = append(queue, root)
}
result := []int{}
for len(queue) > 0 {
for j := 0; j < len(queue); j++ {
node := queue[j]
if node != nil {
result = append(result, node.Val)
queue = append(queue, node.Left)
queue = append(queue, node.Right)
} else {
result = append(result, -1)
}
}
// 清除队列中的本层节点, 进入下一层遍历
queue = queue[len(queue):]
}
// 参数n控制输出值数量, 否则二叉树最后一层叶子节点的孩子节点也会被打印(但是这些孩子节点是不存在的).
fmt.Println(result[:n])
}
func main() {
array := []int{4, 1, 6, 0, 2, 5, 7, -1, -1, -1, 3, -1, -1, -1, 8}
root := constructBinaryTree(array)
printBinaryTree(root, len(array))
}
```
## JavaScript

2
problems/周总结/20201112回溯周末总结.md
View File

@ -76,7 +76,7 @@
* 空间复杂度：$O(n)$，递归深度为n，所以系统栈所用空间为$O(n)$，每一层递归所用的空间都是常数级别，注意代码里的result和path都是全局变量，就算是放在参数里，传的也是引用，并不会新申请内存空间，最终空间复杂度为$O(n)$。
排列问题分析：
* 时间复杂度：$O(n!)$，这个可以从排列的树形图中很明显发现，每一层节点为n，第二层每一个分支都延伸了n-1个分支，再往下又是n-2个分支，所以一直到叶子节点一共就是 n * n-1 * n-2 * ..... 1 = n!。
* 时间复杂度：$O(n!)$，这个可以从排列的树形图中很明显发现，每一层节点为n，第二层每一个分支都延伸了n-1个分支，再往下又是n-2个分支，所以一直到叶子节点一共就是 n * n-1 * n-2 * ..... 1 = n!。每个叶子节点都会有一个构造全排列填进数组的操作（对应的代码：`result.push_back(path)`），该操作的复杂度为$O(n)$。所以，最终时间复杂度为：n * n!，简化为$O(n!)$。
* 空间复杂度：$O(n)$，和子集问题同理。
组合问题分析：

81
problems/回溯算法去重问题的另一种写法.md
View File

@ -365,6 +365,87 @@ class Solution:
return res
```
TypeScript：
**90.子集II**
```typescript
function subsetsWithDup(nums: number[]): number[][] {
nums.sort((a, b) => a - b);
const resArr: number[][] = [];
backTraking(nums, 0, []);
return resArr;
function backTraking(nums: number[], startIndex: number, route: number[]): void {
resArr.push(route.slice());
const helperSet: Set<number> = new Set();
for (let i = startIndex, length = nums.length; i < length; i++) {
if (helperSet.has(nums[i])) continue;
helperSet.add(nums[i]);
route.push(nums[i]);
backTraking(nums, i + 1, route);
route.pop();
}
}
};
```
**40. 组合总和 II**
```typescript
function combinationSum2(candidates: number[], target: number): number[][] {
candidates.sort((a, b) => a - b);
const resArr: number[][] = [];
backTracking(candidates, target, 0, 0, []);
return resArr;
function backTracking(
candidates: number[], target: number,
curSum: number, startIndex: number, route: number[]
) {
if (curSum > target) return;
if (curSum === target) {
resArr.push(route.slice());
return;
}
const helperSet: Set<number> = new Set();
for (let i = startIndex, length = candidates.length; i < length; i++) {
let tempVal: number = candidates[i];
if (helperSet.has(tempVal)) continue;
helperSet.add(tempVal);
route.push(tempVal);
backTracking(candidates, target, curSum + tempVal, i + 1, route);
route.pop();
}
}
};
```
**47. 全排列 II**
```typescript
function permuteUnique(nums: number[]): number[][] {
const resArr: number[][] = [];
const usedArr: boolean[] = [];
backTracking(nums, []);
return resArr;
function backTracking(nums: number[], route: number[]): void {
if (nums.length === route.length) {
resArr.push(route.slice());
return;
}
const usedSet: Set<number> = new Set();
for (let i = 0, length = nums.length; i < length; i++) {
if (usedArr[i] === true || usedSet.has(nums[i])) continue;
usedSet.add(nums[i]);
route.push(nums[i]);
usedArr[i] = true;
backTracking(nums, route);
usedArr[i] = false;
route.pop();
}
}
};
```
Go：