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

This commit is contained in:
programmercarl
2024-06-24 17:13:27 +08:00
7 changed files with 185 additions and 31 deletions

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@ -224,8 +224,8 @@ public:
st.push(root->left);
st.push(root->right);
while (!st.empty()) {
TreeNode* leftNode = st.top(); st.pop();
TreeNode* rightNode = st.top(); st.pop();
TreeNode* leftNode = st.top(); st.pop();
if (!leftNode && !rightNode) {
continue;
}
@ -950,3 +950,4 @@ public bool IsSymmetric(TreeNode root)
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</a>

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@ -383,6 +383,31 @@ object Solution {
}
```
### C
```c
bool isAnagram(char* s, char* t) {
int len1 = strlen(s), len2 = strlen(t);
if (len1 != len2) {
return false;
}
int map1[26] = {0}, map2[26] = {0};
for (int i = 0; i < len1; i++) {
map1[s[i] - 'a'] += 1;
map2[t[i] - 'a'] += 1;
}
for (int i = 0; i < 26; i++) {
if (map1[i] != map2[i]) {
return false;
}
}
return true;
}
```
## 相关题目
* [383.赎金信](https://programmercarl.com/0383.%E8%B5%8E%E9%87%91%E4%BF%A1.html)

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@ -185,22 +185,28 @@ class Solution:
### Go
```go
func fourSumCount(nums1 []int, nums2 []int, nums3 []int, nums4 []int) int {
m := make(map[int]int) //key:a+b的数值value:a+b数值出现的次数
count := 0
// 遍历nums1和nums2数组统计两个数组元素之和和出现的次数放到map中
func fourSumCount(nums1 []int, nums2 []int, nums3 []int, nums4 []int) int {
m := make(map[int]int)
count := 0
// 构建nums1和nums2的和的map
for _, v1 := range nums1 {
for _, v2 := range nums2 {
m[v1+v2]++
}
}
// 遍历nums3和nums4数组找到如果 0-(c+d) 在map中出现过的话就把map中key对应的value也就是出现次数统计出来
for _, v3 := range nums3 {
for _, v4 := range nums4 {
count += m[-v3-v4]
}
}
return count
for _, v2 := range nums2 {
m[v1+v2]++
}
}
// 遍历nums3和nums4检查-c-d是否在map中
for _, v3 := range nums3 {
for _, v4 := range nums4 {
sum := -v3 - v4
if countVal, ok := m[sum]; ok {
count += countVal
}
}
}
return count
}
```

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@ -174,13 +174,17 @@ class Solution {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + ((right - left) >> 1);
if (nums[mid] == target)
if (nums[mid] == target) {
return mid;
else if (nums[mid] < target)
}
else if (nums[mid] < target) {
left = mid + 1;
else if (nums[mid] > target)
}
else { // nums[mid] > target
right = mid - 1;
}
}
// 未找到目标值
return -1;
}
}
@ -194,13 +198,17 @@ class Solution {
int left = 0, right = nums.length;
while (left < right) {
int mid = left + ((right - left) >> 1);
if (nums[mid] == target)
if (nums[mid] == target) {
return mid;
else if (nums[mid] < target)
}
else if (nums[mid] < target) {
left = mid + 1;
else if (nums[mid] > target)
}
else { // nums[mid] > target
right = mid;
}
}
// 未找到目标值
return -1;
}
}

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@ -605,6 +605,63 @@ func bfs(grid [][]int, i, j int) {
}
```
### JavaScript
```js
/**
* @param {number[][]} grid
* @return {number}
*/
var numEnclaves = function (grid) {
let row = grid.length;
let col = grid[0].length;
let count = 0;
// Check the first and last row, if there is a 1, then change all the connected 1s to 0 and don't count them.
for (let j = 0; j < col; j++) {
if (grid[0][j] === 1) {
dfs(0, j, false);
}
if (grid[row - 1][j] === 1) {
dfs(row - 1, j, false);
}
}
// Check the first and last column, if there is a 1, then change all the connected 1s to 0 and don't count them.
for (let i = 0; i < row; i++) {
if (grid[i][0] === 1) {
dfs(i, 0, false);
}
if (grid[i][col - 1] === 1) {
dfs(i, col - 1, false);
}
}
// Check the rest of the grid, if there is a 1, then change all the connected 1s to 0 and count them.
for (let i = 1; i < row - 1; i++) {
for (let j = 1; j < col - 1; j++) {
dfs(i, j, true);
}
}
function dfs(i, j, isCounting) {
let condition = i < 0 || i >= grid.length || j < 0 || j >= grid[0].length || grid[i][j] === 0;
if (condition) return;
if (isCounting) count++;
grid[i][j] = 0;
dfs(i - 1, j, isCounting);
dfs(i + 1, j, isCounting);
dfs(i, j - 1, isCounting);
dfs(i, j + 1, isCounting);
}
return count;
};
```
### Rust
dfs:
@ -700,3 +757,4 @@ impl Solution {
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<img src="../pics/网站星球宣传海报.jpg" width="1000"/>
</a>

View File

@ -40,9 +40,9 @@
回归本题,**本题强调了-1000 <= arr[i] <= 1000**那么就可以用数组来做哈希arr[i]作为哈希表数组的下标那么arr[i]可以是负数,怎么办?负数不能做数组下标。
**此时可以定义一个2000大小的数组例如int count[2002];**统计的时候将arr[i]统一加1000这样就可以统计arr[i]的出现频率了。
**此时可以定义一个2001大小的数组例如int count[2001];**统计的时候将arr[i]统一加1000这样就可以统计arr[i]的出现频率了。
题目中要求的是是否有相同的频率出现那么需要再定义一个哈希表数组用来记录频率是否重复出现过bool fre[1002]; 定义布尔类型的就可以了,**因为题目中强调1 <= arr.length <= 1000所以哈希表大小为1000就可以了**。
题目中要求的是是否有相同的频率出现那么需要再定义一个哈希表数组用来记录频率是否重复出现过bool fre[1001]; 定义布尔类型的就可以了,**因为题目中强调1 <= arr.length <= 1000所以哈希表大小为1000就可以了**。
如图所示:
@ -55,11 +55,11 @@ C++代码如下:
class Solution {
public:
bool uniqueOccurrences(vector<int>& arr) {
int count[2002] = {0}; // 统计数字出现的频率
int count[2001] = {0}; // 统计数字出现的频率
for (int i = 0; i < arr.size(); i++) {
count[arr[i] + 1000]++;
}
bool fre[1002] = {false}; // 看相同频率是否重复出现
bool fre[1001] = {false}; // 看相同频率是否重复出现
for (int i = 0; i <= 2000; i++) {
if (count[i]) {
if (fre[count[i]] == false) fre[count[i]] = true;
@ -78,7 +78,7 @@ public:
```java
class Solution {
public boolean uniqueOccurrences(int[] arr) {
int[] count = new int[2002];
int[] count = new int[2001];
for (int i = 0; i < arr.length; i++) {
count[arr[i] + 1000]++; // 防止负数作为下标
}
@ -103,10 +103,10 @@ class Solution {
# 方法 1: 数组在哈西法的应用
class Solution:
def uniqueOccurrences(self, arr: List[int]) -> bool:
count = [0] * 2002
count = [0] * 2001
for i in range(len(arr)):
count[arr[i] + 1000] += 1 # 防止负数作为下标
freq = [False] * 1002 # 标记相同频率是否重复出现
freq = [False] * 1001 # 标记相同频率是否重复出现
for i in range(2001):
if count[i] > 0:
if freq[count[i]] == False:
@ -139,12 +139,12 @@ class Solution:
``` javascript
// 方法一:使用数组记录元素出现次数
var uniqueOccurrences = function(arr) {
const count = new Array(2002).fill(0);// -1000 <= arr[i] <= 1000
const count = new Array(2001).fill(0);// -1000 <= arr[i] <= 1000
for(let i = 0; i < arr.length; i++){
count[arr[i] + 1000]++;// 防止负数作为下标
}
// 标记相同频率是否重复出现
const fre = new Array(1002).fill(false);// 1 <= arr.length <= 1000
const fre = new Array(1001).fill(false);// 1 <= arr.length <= 1000
for(let i = 0; i <= 2000; i++){
if(count[i] > 0){//有i出现过
if(fre[count[i]] === false) fre[count[i]] = true;//之前未出现过,标记为出现

View File

@ -671,6 +671,62 @@ public void Traversal(TreeNode cur, IList<int> res)
}
```
### PHP
```php
// 144.前序遍历
function preorderTraversal($root) {
$output = [];
$this->traversal($root, $output);
return $output;
}
function traversal($root, array &$output) {
if ($root->val === null) {
return;
}
$output[] = $root->val;
$this->traversal($root->left, $output);
$this->traversal($root->right, $output);
}
```
```php
// 94.中序遍历
function inorderTraversal($root) {
$output = [];
$this->traversal($root, $output);
return $output;
}
function traversal($root, array &$output) {
if ($root->val === null) {
return;
}
$this->traversal($root->left, $output);
$output[] = $root->val;
$this->traversal($root->right, $output);
}
```
```php
// 145.后序遍历
function postorderTraversal($root) {
$output = [];
$this->traversal($root, $output);
return $output;
}
function traversal($root, array &$output) {
if ($root->val === null) {
return;
}
$this->traversal($root->left, $output);
$this->traversal($root->right, $output);
$output[] = $root->val;
}
```
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