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id
int64 1
3.65k
| title
stringlengths 3
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stringclasses 3
values | description
stringlengths 430
25.4k
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stringclasses 19
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1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
C
|
#include <stdlib.h>
int* twoSum(int* nums, int numsSize, int target, int* returnSize) {
int capacity = 1;
while (capacity < numsSize * 2) capacity <<= 1;
int* keys = malloc(capacity * sizeof(int));
int* vals = malloc(capacity * sizeof(int));
char* used = calloc(capacity, sizeof(char));
if (!keys || !vals || !used) {
free(keys);
free(vals);
free(used);
*returnSize = 0;
return NULL;
}
for (int i = 0; i < numsSize; ++i) {
int x = nums[i];
int y = target - x;
unsigned int h = (unsigned int) y & (capacity - 1);
while (used[h]) {
if (keys[h] == y) {
int* res = malloc(2 * sizeof(int));
res[0] = vals[h];
res[1] = i;
*returnSize = 2;
free(keys);
free(vals);
free(used);
return res;
}
h = (h + 1) & (capacity - 1);
}
unsigned int h2 = (unsigned int) x & (capacity - 1);
while (used[h2]) h2 = (h2 + 1) & (capacity - 1);
used[h2] = 1;
keys[h2] = x;
vals[h2] = i;
}
*returnSize = 0;
free(keys);
free(vals);
free(used);
return NULL;
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Cangjie
|
class Solution {
func twoSum(nums: Array<Int64>, target: Int64): Array<Int64> {
let d = HashMap<Int64, Int64>()
for (i in 0..nums.size) {
if (d.contains(target - nums[i])) {
return [d[target - nums[i]], i]
}
d[nums[i]] = i
}
[]
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
C++
|
class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
unordered_map<int, int> d;
for (int i = 0;; ++i) {
int x = nums[i];
int y = target - x;
if (d.contains(y)) {
return {d[y], i};
}
d[x] = i;
}
}
};
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
C#
|
public class Solution {
public int[] TwoSum(int[] nums, int target) {
var d = new Dictionary<int, int>();
for (int i = 0, j; ; ++i) {
int x = nums[i];
int y = target - x;
if (d.TryGetValue(y, out j)) {
return new [] {j, i};
}
if (!d.ContainsKey(x)) {
d.Add(x, i);
}
}
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Go
|
func twoSum(nums []int, target int) []int {
d := map[int]int{}
for i := 0; ; i++ {
x := nums[i]
y := target - x
if j, ok := d[y]; ok {
return []int{j, i}
}
d[x] = i
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Java
|
class Solution {
public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> d = new HashMap<>();
for (int i = 0;; ++i) {
int x = nums[i];
int y = target - x;
if (d.containsKey(y)) {
return new int[] {d.get(y), i};
}
d.put(x, i);
}
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
JavaScript
|
/**
* @param {number[]} nums
* @param {number} target
* @return {number[]}
*/
var twoSum = function (nums, target) {
const d = new Map();
for (let i = 0; ; ++i) {
const x = nums[i];
const y = target - x;
if (d.has(y)) {
return [d.get(y), i];
}
d.set(x, i);
}
};
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Kotlin
|
class Solution {
fun twoSum(nums: IntArray, target: Int): IntArray {
val m = mutableMapOf<Int, Int>()
nums.forEachIndexed { i, x ->
val y = target - x
val j = m.get(y)
if (j != null) {
return intArrayOf(j, i)
}
m[x] = i
}
return intArrayOf()
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Nim
|
import std/enumerate
import std/tables
proc twoSum(nums: seq[int], target: int): seq[int] =
var d = initTable[int, int]()
for i, x in nums.pairs():
let y = target - x
if d.hasKey(y):
return @[d[y], i]
d[x] = i
return @[]
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
PHP
|
class Solution {
/**
* @param Integer[] $nums
* @param Integer $target
* @return Integer[]
*/
function twoSum($nums, $target) {
$d = [];
foreach ($nums as $i => $x) {
$y = $target - $x;
if (isset($d[$y])) {
return [$d[$y], $i];
}
$d[$x] = $i;
}
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Python
|
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
d = {}
for i, x in enumerate(nums):
if (y := target - x) in d:
return [d[y], i]
d[x] = i
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Ruby
|
# @param {Integer[]} nums
# @param {Integer} target
# @return {Integer[]}
def two_sum(nums, target)
d = {}
nums.each_with_index do |x, i|
y = target - x
if d.key?(y)
return [d[y], i]
end
d[x] = i
end
end
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Rust
|
use std::collections::HashMap;
impl Solution {
pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> {
let mut d = HashMap::new();
for (i, &x) in nums.iter().enumerate() {
let y = target - x;
if let Some(&j) = d.get(&y) {
return vec![j as i32, i as i32];
}
d.insert(x, i);
}
vec![]
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Scala
|
import scala.collection.mutable
object Solution {
def twoSum(nums: Array[Int], target: Int): Array[Int] = {
val d = mutable.Map[Int, Int]()
var ans: Array[Int] = Array()
for (i <- nums.indices if ans.isEmpty) {
val x = nums(i)
val y = target - x
if (d.contains(y)) {
ans = Array(d(y), i)
} else {
d(x) = i
}
}
ans
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
Swift
|
class Solution {
func twoSum(_ nums: [Int], _ target: Int) -> [Int] {
var d = [Int: Int]()
for (i, x) in nums.enumerated() {
let y = target - x
if let j = d[y] {
return [j, i]
}
d[x] = i
}
return []
}
}
|
1 |
Two Sum
|
Easy
|
<p>Given an array of integers <code>nums</code> and an integer <code>target</code>, return <em>indices of the two numbers such that they add up to <code>target</code></em>.</p>
<p>You may assume that each input would have <strong><em>exactly</em> one solution</strong>, and you may not use the <em>same</em> element twice.</p>
<p>You can return the answer in any order.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums = [2,7,11,15], target = 9
<strong>Output:</strong> [0,1]
<strong>Explanation:</strong> Because nums[0] + nums[1] == 9, we return [0, 1].
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,2,4], target = 6
<strong>Output:</strong> [1,2]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> nums = [3,3], target = 6
<strong>Output:</strong> [0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>2 <= nums.length <= 10<sup>4</sup></code></li>
<li><code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code></li>
<li><code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code></li>
<li><strong>Only one valid answer exists.</strong></li>
</ul>
<p> </p>
<strong>Follow-up: </strong>Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>)</code><font face="monospace"> </font>time complexity?
|
Array; Hash Table
|
TypeScript
|
function twoSum(nums: number[], target: number): number[] {
const d = new Map<number, number>();
for (let i = 0; ; ++i) {
const x = nums[i];
const y = target - x;
if (d.has(y)) {
return [d.get(y)!, i];
}
d.set(x, i);
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
C
|
/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* struct ListNode *next;
* };
*/
struct ListNode* addTwoNumbers(struct ListNode* l1, struct ListNode* l2) {
struct ListNode* dummy = (struct ListNode*) malloc(sizeof(struct ListNode));
dummy->val = 0;
dummy->next = NULL;
struct ListNode* curr = dummy;
int carry = 0;
while (l1 != NULL || l2 != NULL || carry != 0) {
int sum = carry;
if (l1 != NULL) {
sum += l1->val;
l1 = l1->next;
}
if (l2 != NULL) {
sum += l2->val;
l2 = l2->next;
}
carry = sum / 10;
int val = sum % 10;
struct ListNode* newNode = (struct ListNode*) malloc(sizeof(struct ListNode));
newNode->val = val;
newNode->next = NULL;
curr->next = newNode;
curr = curr->next;
}
struct ListNode* result = dummy->next;
free(dummy);
return result;
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
C++
|
/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode() : val(0), next(nullptr) {}
* ListNode(int x) : val(x), next(nullptr) {}
* ListNode(int x, ListNode *next) : val(x), next(next) {}
* };
*/
class Solution {
public:
ListNode* addTwoNumbers(ListNode* l1, ListNode* l2) {
ListNode dummy;
int carry = 0;
ListNode* cur = &dummy;
while (l1 || l2 || carry) {
int s = (l1 ? l1->val : 0) + (l2 ? l2->val : 0) + carry;
carry = s / 10;
cur->next = new ListNode(s % 10);
cur = cur->next;
l1 = l1 ? l1->next : nullptr;
l2 = l2 ? l2->next : nullptr;
}
return dummy.next;
}
};
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
C#
|
/**
* Definition for singly-linked list.
* public class ListNode {
* public int val;
* public ListNode next;
* public ListNode(int val=0, ListNode next=null) {
* this.val = val;
* this.next = next;
* }
* }
*/
public class Solution {
public ListNode AddTwoNumbers(ListNode l1, ListNode l2) {
ListNode dummy = new ListNode();
int carry = 0;
ListNode cur = dummy;
while (l1 != null || l2 != null || carry != 0) {
int s = (l1 == null ? 0 : l1.val) + (l2 == null ? 0 : l2.val) + carry;
carry = s / 10;
cur.next = new ListNode(s % 10);
cur = cur.next;
l1 = l1 == null ? null : l1.next;
l2 = l2 == null ? null : l2.next;
}
return dummy.next;
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Go
|
/**
* Definition for singly-linked list.
* type ListNode struct {
* Val int
* Next *ListNode
* }
*/
func addTwoNumbers(l1 *ListNode, l2 *ListNode) *ListNode {
dummy := &ListNode{}
carry := 0
cur := dummy
for l1 != nil || l2 != nil || carry != 0 {
s := carry
if l1 != nil {
s += l1.Val
}
if l2 != nil {
s += l2.Val
}
carry = s / 10
cur.Next = &ListNode{s % 10, nil}
cur = cur.Next
if l1 != nil {
l1 = l1.Next
}
if l2 != nil {
l2 = l2.Next
}
}
return dummy.Next
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Java
|
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode() {}
* ListNode(int val) { this.val = val; }
* ListNode(int val, ListNode next) { this.val = val; this.next = next; }
* }
*/
class Solution {
public ListNode addTwoNumbers(ListNode l1, ListNode l2) {
ListNode dummy = new ListNode(0);
int carry = 0;
ListNode cur = dummy;
while (l1 != null || l2 != null || carry != 0) {
int s = (l1 == null ? 0 : l1.val) + (l2 == null ? 0 : l2.val) + carry;
carry = s / 10;
cur.next = new ListNode(s % 10);
cur = cur.next;
l1 = l1 == null ? null : l1.next;
l2 = l2 == null ? null : l2.next;
}
return dummy.next;
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
JavaScript
|
/**
* Definition for singly-linked list.
* function ListNode(val, next) {
* this.val = (val===undefined ? 0 : val)
* this.next = (next===undefined ? null : next)
* }
*/
/**
* @param {ListNode} l1
* @param {ListNode} l2
* @return {ListNode}
*/
var addTwoNumbers = function (l1, l2) {
const dummy = new ListNode();
let carry = 0;
let cur = dummy;
while (l1 || l2 || carry) {
const s = (l1?.val || 0) + (l2?.val || 0) + carry;
carry = Math.floor(s / 10);
cur.next = new ListNode(s % 10);
cur = cur.next;
l1 = l1?.next;
l2 = l2?.next;
}
return dummy.next;
};
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Nim
|
#[
# Driver code in the solution file
# Definition for singly-linked list.
type
Node[int] = ref object
value: int
next: Node[int]
SinglyLinkedList[T] = object
head, tail: Node[T]
]#
# More efficient code churning ...
proc addTwoNumbers(l1: var SinglyLinkedList, l2: var SinglyLinkedList): SinglyLinkedList[int] =
var
aggregate: SinglyLinkedList
psum: seq[char]
temp_la, temp_lb: seq[int]
while not l1.head.isNil:
temp_la.add(l1.head.value)
l1.head = l1.head.next
while not l2.head.isNil:
temp_lb.add(l2.head.value)
l2.head = l2.head.next
psum = reversed($(reversed(temp_la).join("").parseInt() + reversed(temp_lb).join("").parseInt()))
for i in psum: aggregate.append(($i).parseInt())
result = aggregate
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
PHP
|
/**
* Definition for a singly-linked list.
* class ListNode {
* public $val = 0;
* public $next = null;
* function __construct($val = 0, $next = null) {
* $this->val = $val;
* $this->next = $next;
* }
* }
*/
class Solution {
/**
* @param ListNode $l1
* @param ListNode $l2
* @return ListNode
*/
function addTwoNumbers($l1, $l2) {
$dummy = new ListNode(0);
$current = $dummy;
$carry = 0;
while ($l1 !== null || $l2 !== null) {
$x = $l1 !== null ? $l1->val : 0;
$y = $l2 !== null ? $l2->val : 0;
$sum = $x + $y + $carry;
$carry = (int) ($sum / 10);
$current->next = new ListNode($sum % 10);
$current = $current->next;
if ($l1 !== null) {
$l1 = $l1->next;
}
if ($l2 !== null) {
$l2 = $l2->next;
}
}
if ($carry > 0) {
$current->next = new ListNode($carry);
}
return $dummy->next;
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Python
|
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def addTwoNumbers(
self, l1: Optional[ListNode], l2: Optional[ListNode]
) -> Optional[ListNode]:
dummy = ListNode()
carry, curr = 0, dummy
while l1 or l2 or carry:
s = (l1.val if l1 else 0) + (l2.val if l2 else 0) + carry
carry, val = divmod(s, 10)
curr.next = ListNode(val)
curr = curr.next
l1 = l1.next if l1 else None
l2 = l2.next if l2 else None
return dummy.next
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Ruby
|
# Definition for singly-linked list.
# class ListNode
# attr_accessor :val, :next
# def initialize(val = 0, _next = nil)
# @val = val
# @next = _next
# end
# end
# @param {ListNode} l1
# @param {ListNode} l2
# @return {ListNode}
def add_two_numbers(l1, l2)
dummy = ListNode.new()
carry = 0
cur = dummy
while !l1.nil? || !l2.nil? || carry > 0
s = (l1.nil? ? 0 : l1.val) + (l2.nil? ? 0 : l2.val) + carry
carry = s / 10
cur.next = ListNode.new(s % 10)
cur = cur.next
l1 = l1.nil? ? l1 : l1.next
l2 = l2.nil? ? l2 : l2.next
end
dummy.next
end
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Rust
|
// Definition for singly-linked list.
// #[derive(PartialEq, Eq, Clone, Debug)]
// pub struct ListNode {
// pub val: i32,
// pub next: Option<Box<ListNode>>
// }
//
// impl ListNode {
// #[inline]
// fn new(val: i32) -> Self {
// ListNode {
// next: None,
// val
// }
// }
// }
impl Solution {
pub fn add_two_numbers(
mut l1: Option<Box<ListNode>>,
mut l2: Option<Box<ListNode>>,
) -> Option<Box<ListNode>> {
let mut dummy = Some(Box::new(ListNode::new(0)));
let mut cur = &mut dummy;
let mut sum = 0;
while l1.is_some() || l2.is_some() || sum != 0 {
if let Some(node) = l1 {
sum += node.val;
l1 = node.next;
}
if let Some(node) = l2 {
sum += node.val;
l2 = node.next;
}
cur.as_mut().unwrap().next = Some(Box::new(ListNode::new(sum % 10)));
cur = &mut cur.as_mut().unwrap().next;
sum /= 10;
}
dummy.unwrap().next.take()
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
Swift
|
/**
* Definition for singly-linked list.
* public class ListNode {
* public var val: Int
* public var next: ListNode?
* public init() { self.val = 0; self.next = nil; }
* public init(_ val: Int) { self.val = val; self.next = nil; }
* public init(_ val: Int, _ next: ListNode?) { self.val = val; self.next = next; }
* }
*/
class Solution {
func addTwoNumbers(_ l1: ListNode?, _ l2: ListNode?) -> ListNode? {
var dummy = ListNode.init()
var carry = 0
var l1 = l1
var l2 = l2
var cur = dummy
while l1 != nil || l2 != nil || carry != 0 {
let s = (l1?.val ?? 0) + (l2?.val ?? 0) + carry
carry = s / 10
cur.next = ListNode.init(s % 10)
cur = cur.next!
l1 = l1?.next
l2 = l2?.next
}
return dummy.next
}
}
|
2 |
Add Two Numbers
|
Medium
|
<p>You are given two <strong>non-empty</strong> linked lists representing two non-negative integers. The digits are stored in <strong>reverse order</strong>, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.</p>
<p>You may assume the two numbers do not contain any leading zero, except the number 0 itself.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0000-0099/0002.Add%20Two%20Numbers/images/addtwonumber1.jpg" style="width: 483px; height: 342px;" />
<pre>
<strong>Input:</strong> l1 = [2,4,3], l2 = [5,6,4]
<strong>Output:</strong> [7,0,8]
<strong>Explanation:</strong> 342 + 465 = 807.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> l1 = [0], l2 = [0]
<strong>Output:</strong> [0]
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]
<strong>Output:</strong> [8,9,9,9,0,0,0,1]
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li>The number of nodes in each linked list is in the range <code>[1, 100]</code>.</li>
<li><code>0 <= Node.val <= 9</code></li>
<li>It is guaranteed that the list represents a number that does not have leading zeros.</li>
</ul>
|
Recursion; Linked List; Math
|
TypeScript
|
/**
* Definition for singly-linked list.
* class ListNode {
* val: number
* next: ListNode | null
* constructor(val?: number, next?: ListNode | null) {
* this.val = (val===undefined ? 0 : val)
* this.next = (next===undefined ? null : next)
* }
* }
*/
function addTwoNumbers(l1: ListNode | null, l2: ListNode | null): ListNode | null {
const dummy = new ListNode();
let cur = dummy;
let sum = 0;
while (l1 != null || l2 != null || sum !== 0) {
if (l1 != null) {
sum += l1.val;
l1 = l1.next;
}
if (l2 != null) {
sum += l2.val;
l2 = l2.next;
}
cur.next = new ListNode(sum % 10);
cur = cur.next;
sum = Math.floor(sum / 10);
}
return dummy.next;
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
C
|
int lengthOfLongestSubstring(char* s) {
int freq[256] = {0};
int l = 0, r = 0;
int ans = 0;
int len = strlen(s);
for (r = 0; r < len; r++) {
char c = s[r];
freq[(unsigned char) c]++;
while (freq[(unsigned char) c] > 1) {
freq[(unsigned char) s[l]]--;
l++;
}
if (ans < r - l + 1) {
ans = r - l + 1;
}
}
return ans;
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
C++
|
class Solution {
public:
int lengthOfLongestSubstring(string s) {
int cnt[128]{};
int ans = 0, n = s.size();
for (int l = 0, r = 0; r < n; ++r) {
++cnt[s[r]];
while (cnt[s[r]] > 1) {
--cnt[s[l++]];
}
ans = max(ans, r - l + 1);
}
return ans;
}
};
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
C#
|
public class Solution {
public int LengthOfLongestSubstring(string s) {
int n = s.Length;
int ans = 0;
var cnt = new int[128];
for (int l = 0, r = 0; r < n; ++r) {
++cnt[s[r]];
while (cnt[s[r]] > 1) {
--cnt[s[l++]];
}
ans = Math.Max(ans, r - l + 1);
}
return ans;
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Go
|
func lengthOfLongestSubstring(s string) (ans int) {
cnt := [128]int{}
l := 0
for r, c := range s {
cnt[c]++
for cnt[c] > 1 {
cnt[s[l]]--
l++
}
ans = max(ans, r-l+1)
}
return
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Java
|
class Solution {
public int lengthOfLongestSubstring(String s) {
int[] cnt = new int[128];
int ans = 0, n = s.length();
for (int l = 0, r = 0; r < n; ++r) {
char c = s.charAt(r);
++cnt[c];
while (cnt[c] > 1) {
--cnt[s.charAt(l++)];
}
ans = Math.max(ans, r - l + 1);
}
return ans;
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
JavaScript
|
/**
* @param {string} s
* @return {number}
*/
var lengthOfLongestSubstring = function (s) {
let ans = 0;
const n = s.length;
const cnt = new Map();
for (let l = 0, r = 0; r < n; ++r) {
cnt.set(s[r], (cnt.get(s[r]) || 0) + 1);
while (cnt.get(s[r]) > 1) {
cnt.set(s[l], cnt.get(s[l]) - 1);
++l;
}
ans = Math.max(ans, r - l + 1);
}
return ans;
};
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Kotlin
|
class Solution {
fun lengthOfLongestSubstring(s: String): Int {
val n = s.length
var ans = 0
val cnt = IntArray(128)
var l = 0
for (r in 0 until n) {
cnt[s[r].toInt()]++
while (cnt[s[r].toInt()] > 1) {
cnt[s[l].toInt()]--
l++
}
ans = Math.max(ans, r - l + 1)
}
return ans
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
PHP
|
class Solution {
function lengthOfLongestSubstring($s) {
$n = strlen($s);
$ans = 0;
$cnt = array_fill(0, 128, 0);
$l = 0;
for ($r = 0; $r < $n; ++$r) {
$cnt[ord($s[$r])]++;
while ($cnt[ord($s[$r])] > 1) {
$cnt[ord($s[$l])]--;
$l++;
}
$ans = max($ans, $r - $l + 1);
}
return $ans;
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Python
|
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
cnt = Counter()
ans = l = 0
for r, c in enumerate(s):
cnt[c] += 1
while cnt[c] > 1:
cnt[s[l]] -= 1
l += 1
ans = max(ans, r - l + 1)
return ans
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Rust
|
impl Solution {
pub fn length_of_longest_substring(s: String) -> i32 {
let mut cnt = [0; 128];
let mut ans = 0;
let mut l = 0;
let chars: Vec<char> = s.chars().collect();
let n = chars.len();
for (r, &c) in chars.iter().enumerate() {
cnt[c as usize] += 1;
while cnt[c as usize] > 1 {
cnt[chars[l] as usize] -= 1;
l += 1;
}
ans = ans.max((r - l + 1) as i32);
}
ans
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
Swift
|
class Solution {
func lengthOfLongestSubstring(_ s: String) -> Int {
let n = s.count
var ans = 0
var cnt = [Int](repeating: 0, count: 128)
var l = 0
let sArray = Array(s)
for r in 0..<n {
cnt[Int(sArray[r].asciiValue!)] += 1
while cnt[Int(sArray[r].asciiValue!)] > 1 {
cnt[Int(sArray[l].asciiValue!)] -= 1
l += 1
}
ans = max(ans, r - l + 1)
}
return ans
}
}
|
3 |
Longest Substring Without Repeating Characters
|
Medium
|
<p>Given a string <code>s</code>, find the length of the <strong>longest</strong> <span data-keyword="substring-nonempty"><strong>substring</strong></span> without duplicate characters.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "abcabcbb"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "abc", with the length of 3.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "bbbbb"
<strong>Output:</strong> 1
<strong>Explanation:</strong> The answer is "b", with the length of 1.
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "pwwkew"
<strong>Output:</strong> 3
<strong>Explanation:</strong> The answer is "wke", with the length of 3.
Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 5 * 10<sup>4</sup></code></li>
<li><code>s</code> consists of English letters, digits, symbols and spaces.</li>
</ul>
|
Hash Table; String; Sliding Window
|
TypeScript
|
function lengthOfLongestSubstring(s: string): number {
let ans = 0;
const cnt = new Map<string, number>();
const n = s.length;
for (let l = 0, r = 0; r < n; ++r) {
cnt.set(s[r], (cnt.get(s[r]) || 0) + 1);
while (cnt.get(s[r])! > 1) {
cnt.set(s[l], cnt.get(s[l])! - 1);
++l;
}
ans = Math.max(ans, r - l + 1);
}
return ans;
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
C
|
int findKth(int* nums1, int m, int i, int* nums2, int n, int j, int k) {
if (i >= m)
return nums2[j + k - 1];
if (j >= n)
return nums1[i + k - 1];
if (k == 1)
return nums1[i] < nums2[j] ? nums1[i] : nums2[j];
int p = k / 2;
int x = (i + p - 1 < m) ? nums1[i + p - 1] : INT_MAX;
int y = (j + p - 1 < n) ? nums2[j + p - 1] : INT_MAX;
if (x < y)
return findKth(nums1, m, i + p, nums2, n, j, k - p);
else
return findKth(nums1, m, i, nums2, n, j + p, k - p);
}
double findMedianSortedArrays(int* nums1, int m, int* nums2, int n) {
int total = m + n;
int a = findKth(nums1, m, 0, nums2, n, 0, (total + 1) / 2);
int b = findKth(nums1, m, 0, nums2, n, 0, (total + 2) / 2);
return (a + b) / 2.0;
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
C++
|
class Solution {
public:
double findMedianSortedArrays(vector<int>& nums1, vector<int>& nums2) {
int m = nums1.size(), n = nums2.size();
function<int(int, int, int)> f = [&](int i, int j, int k) {
if (i >= m) {
return nums2[j + k - 1];
}
if (j >= n) {
return nums1[i + k - 1];
}
if (k == 1) {
return min(nums1[i], nums2[j]);
}
int p = k / 2;
int x = i + p - 1 < m ? nums1[i + p - 1] : 1 << 30;
int y = j + p - 1 < n ? nums2[j + p - 1] : 1 << 30;
return x < y ? f(i + p, j, k - p) : f(i, j + p, k - p);
};
int a = f(0, 0, (m + n + 1) / 2);
int b = f(0, 0, (m + n + 2) / 2);
return (a + b) / 2.0;
}
};
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
C#
|
public class Solution {
private int m;
private int n;
private int[] nums1;
private int[] nums2;
public double FindMedianSortedArrays(int[] nums1, int[] nums2) {
m = nums1.Length;
n = nums2.Length;
this.nums1 = nums1;
this.nums2 = nums2;
int a = f(0, 0, (m + n + 1) / 2);
int b = f(0, 0, (m + n + 2) / 2);
return (a + b) / 2.0;
}
private int f(int i, int j, int k) {
if (i >= m) {
return nums2[j + k - 1];
}
if (j >= n) {
return nums1[i + k - 1];
}
if (k == 1) {
return Math.Min(nums1[i], nums2[j]);
}
int p = k / 2;
int x = i + p - 1 < m ? nums1[i + p - 1] : 1 << 30;
int y = j + p - 1 < n ? nums2[j + p - 1] : 1 << 30;
return x < y ? f(i + p, j, k - p) : f(i, j + p, k - p);
}
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
Go
|
func findMedianSortedArrays(nums1 []int, nums2 []int) float64 {
m, n := len(nums1), len(nums2)
var f func(i, j, k int) int
f = func(i, j, k int) int {
if i >= m {
return nums2[j+k-1]
}
if j >= n {
return nums1[i+k-1]
}
if k == 1 {
return min(nums1[i], nums2[j])
}
p := k / 2
x, y := 1<<30, 1<<30
if ni := i + p - 1; ni < m {
x = nums1[ni]
}
if nj := j + p - 1; nj < n {
y = nums2[nj]
}
if x < y {
return f(i+p, j, k-p)
}
return f(i, j+p, k-p)
}
a, b := f(0, 0, (m+n+1)/2), f(0, 0, (m+n+2)/2)
return float64(a+b) / 2.0
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
Java
|
class Solution {
private int m;
private int n;
private int[] nums1;
private int[] nums2;
public double findMedianSortedArrays(int[] nums1, int[] nums2) {
m = nums1.length;
n = nums2.length;
this.nums1 = nums1;
this.nums2 = nums2;
int a = f(0, 0, (m + n + 1) / 2);
int b = f(0, 0, (m + n + 2) / 2);
return (a + b) / 2.0;
}
private int f(int i, int j, int k) {
if (i >= m) {
return nums2[j + k - 1];
}
if (j >= n) {
return nums1[i + k - 1];
}
if (k == 1) {
return Math.min(nums1[i], nums2[j]);
}
int p = k / 2;
int x = i + p - 1 < m ? nums1[i + p - 1] : 1 << 30;
int y = j + p - 1 < n ? nums2[j + p - 1] : 1 << 30;
return x < y ? f(i + p, j, k - p) : f(i, j + p, k - p);
}
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
JavaScript
|
/**
* @param {number[]} nums1
* @param {number[]} nums2
* @return {number}
*/
var findMedianSortedArrays = function (nums1, nums2) {
const m = nums1.length;
const n = nums2.length;
const f = (i, j, k) => {
if (i >= m) {
return nums2[j + k - 1];
}
if (j >= n) {
return nums1[i + k - 1];
}
if (k == 1) {
return Math.min(nums1[i], nums2[j]);
}
const p = Math.floor(k / 2);
const x = i + p - 1 < m ? nums1[i + p - 1] : 1 << 30;
const y = j + p - 1 < n ? nums2[j + p - 1] : 1 << 30;
return x < y ? f(i + p, j, k - p) : f(i, j + p, k - p);
};
const a = f(0, 0, Math.floor((m + n + 1) / 2));
const b = f(0, 0, Math.floor((m + n + 2) / 2));
return (a + b) / 2;
};
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
Nim
|
import std/[algorithm, sequtils]
proc medianOfTwoSortedArrays(nums1: seq[int], nums2: seq[int]): float =
var
fullList: seq[int] = concat(nums1, nums2)
value: int = fullList.len div 2
fullList.sort()
if fullList.len mod 2 == 0:
result = (fullList[value - 1] + fullList[value]) / 2
else:
result = fullList[value].toFloat()
# Driver Code
# var
# arrA: seq[int] = @[1, 2]
# arrB: seq[int] = @[3, 4, 5]
# echo medianOfTwoSortedArrays(arrA, arrB)
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
PHP
|
class Solution {
/**
* @param int[] $nums1
* @param int[] $nums2
* @return float
*/
function findMedianSortedArrays($nums1, $nums2) {
$arr = array_merge($nums1, $nums2);
sort($arr);
$cnt_arr = count($arr);
if ($cnt_arr % 2) {
return $arr[$cnt_arr / 2];
} else {
return ($arr[intdiv($cnt_arr, 2) - 1] + $arr[intdiv($cnt_arr, 2)]) / 2;
}
}
}
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
Python
|
class Solution:
def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
def f(i: int, j: int, k: int) -> int:
if i >= m:
return nums2[j + k - 1]
if j >= n:
return nums1[i + k - 1]
if k == 1:
return min(nums1[i], nums2[j])
p = k // 2
x = nums1[i + p - 1] if i + p - 1 < m else inf
y = nums2[j + p - 1] if j + p - 1 < n else inf
return f(i + p, j, k - p) if x < y else f(i, j + p, k - p)
m, n = len(nums1), len(nums2)
a = f(0, 0, (m + n + 1) // 2)
b = f(0, 0, (m + n + 2) // 2)
return (a + b) / 2
|
4 |
Median of Two Sorted Arrays
|
Hard
|
<p>Given two sorted arrays <code>nums1</code> and <code>nums2</code> of size <code>m</code> and <code>n</code> respectively, return <strong>the median</strong> of the two sorted arrays.</p>
<p>The overall run time complexity should be <code>O(log (m+n))</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,3], nums2 = [2]
<strong>Output:</strong> 2.00000
<strong>Explanation:</strong> merged array = [1,2,3] and median is 2.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> nums1 = [1,2], nums2 = [3,4]
<strong>Output:</strong> 2.50000
<strong>Explanation:</strong> merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>nums1.length == m</code></li>
<li><code>nums2.length == n</code></li>
<li><code>0 <= m <= 1000</code></li>
<li><code>0 <= n <= 1000</code></li>
<li><code>1 <= m + n <= 2000</code></li>
<li><code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code></li>
</ul>
|
Array; Binary Search; Divide and Conquer
|
TypeScript
|
function findMedianSortedArrays(nums1: number[], nums2: number[]): number {
const m = nums1.length;
const n = nums2.length;
const f = (i: number, j: number, k: number): number => {
if (i >= m) {
return nums2[j + k - 1];
}
if (j >= n) {
return nums1[i + k - 1];
}
if (k == 1) {
return Math.min(nums1[i], nums2[j]);
}
const p = Math.floor(k / 2);
const x = i + p - 1 < m ? nums1[i + p - 1] : 1 << 30;
const y = j + p - 1 < n ? nums2[j + p - 1] : 1 << 30;
return x < y ? f(i + p, j, k - p) : f(i, j + p, k - p);
};
const a = f(0, 0, Math.floor((m + n + 1) / 2));
const b = f(0, 0, Math.floor((m + n + 2) / 2));
return (a + b) / 2;
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
C
|
char* longestPalindrome(char* s) {
int n = strlen(s);
bool** f = (bool**) malloc(n * sizeof(bool*));
for (int i = 0; i < n; ++i) {
f[i] = (bool*) malloc(n * sizeof(bool));
for (int j = 0; j < n; ++j) {
f[i][j] = true;
}
}
int k = 0, mx = 1;
for (int i = n - 2; ~i; --i) {
for (int j = i + 1; j < n; ++j) {
f[i][j] = false;
if (s[i] == s[j]) {
f[i][j] = f[i + 1][j - 1];
if (f[i][j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
char* res = (char*) malloc((mx + 1) * sizeof(char));
strncpy(res, s + k, mx);
res[mx] = '\0';
for (int i = 0; i < n; ++i) {
free(f[i]);
}
free(f);
return res;
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
C++
|
class Solution {
public:
string longestPalindrome(string s) {
int n = s.size();
vector<vector<bool>> f(n, vector<bool>(n, true));
int k = 0, mx = 1;
for (int i = n - 2; ~i; --i) {
for (int j = i + 1; j < n; ++j) {
f[i][j] = false;
if (s[i] == s[j]) {
f[i][j] = f[i + 1][j - 1];
if (f[i][j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
return s.substr(k, mx);
}
};
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
C#
|
public class Solution {
public string LongestPalindrome(string s) {
int n = s.Length;
bool[,] f = new bool[n, n];
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; ++j) {
f[i, j] = true;
}
}
int k = 0, mx = 1;
for (int i = n - 2; i >= 0; --i) {
for (int j = i + 1; j < n; ++j) {
f[i, j] = false;
if (s[i] == s[j]) {
f[i, j] = f[i + 1, j - 1];
if (f[i, j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
return s.Substring(k, mx);
}
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
Go
|
func longestPalindrome(s string) string {
n := len(s)
f := make([][]bool, n)
for i := range f {
f[i] = make([]bool, n)
for j := range f[i] {
f[i][j] = true
}
}
k, mx := 0, 1
for i := n - 2; i >= 0; i-- {
for j := i + 1; j < n; j++ {
f[i][j] = false
if s[i] == s[j] {
f[i][j] = f[i+1][j-1]
if f[i][j] && mx < j-i+1 {
mx = j - i + 1
k = i
}
}
}
}
return s[k : k+mx]
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
Java
|
class Solution {
public String longestPalindrome(String s) {
int n = s.length();
boolean[][] f = new boolean[n][n];
for (var g : f) {
Arrays.fill(g, true);
}
int k = 0, mx = 1;
for (int i = n - 2; i >= 0; --i) {
for (int j = i + 1; j < n; ++j) {
f[i][j] = false;
if (s.charAt(i) == s.charAt(j)) {
f[i][j] = f[i + 1][j - 1];
if (f[i][j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
return s.substring(k, k + mx);
}
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
JavaScript
|
/**
* @param {string} s
* @return {string}
*/
var longestPalindrome = function (s) {
const n = s.length;
const f = Array(n)
.fill(0)
.map(() => Array(n).fill(true));
let k = 0;
let mx = 1;
for (let i = n - 2; i >= 0; --i) {
for (let j = i + 1; j < n; ++j) {
f[i][j] = false;
if (s[i] === s[j]) {
f[i][j] = f[i + 1][j - 1];
if (f[i][j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
return s.slice(k, k + mx);
};
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
Nim
|
import std/sequtils
proc longestPalindrome(s: string): string =
let n: int = s.len()
var
dp = newSeqWith[bool](n, newSeqWith[bool](n, false))
start: int = 0
mx: int = 1
for j in 0 ..< n:
for i in 0 .. j:
if j - i < 2:
dp[i][j] = s[i] == s[j]
else:
dp[i][j] = dp[i + 1][j - 1] and s[i] == s[j]
if dp[i][j] and mx < j - i + 1:
start = i
mx = j - i + 1
result = s[start ..< start+mx]
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
PHP
|
class Solution {
/**
* @param string $s
* @return string
*/
function longestPalindrome($s) {
$start = 0;
$maxLength = 0;
for ($i = 0; $i < strlen($s); $i++) {
$len1 = $this->expandFromCenter($s, $i, $i);
$len2 = $this->expandFromCenter($s, $i, $i + 1);
$len = max($len1, $len2);
if ($len > $maxLength) {
$start = $i - intval(($len - 1) / 2);
$maxLength = $len;
}
}
return substr($s, $start, $maxLength);
}
function expandFromCenter($s, $left, $right) {
while ($left >= 0 && $right < strlen($s) && $s[$left] === $s[$right]) {
$left--;
$right++;
}
return $right - $left - 1;
}
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
Python
|
class Solution:
def longestPalindrome(self, s: str) -> str:
n = len(s)
f = [[True] * n for _ in range(n)]
k, mx = 0, 1
for i in range(n - 2, -1, -1):
for j in range(i + 1, n):
f[i][j] = False
if s[i] == s[j]:
f[i][j] = f[i + 1][j - 1]
if f[i][j] and mx < j - i + 1:
k, mx = i, j - i + 1
return s[k : k + mx]
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
Rust
|
impl Solution {
pub fn longest_palindrome(s: String) -> String {
let (n, mut ans) = (s.len(), &s[..1]);
let mut dp = vec![vec![false; n]; n];
let data: Vec<char> = s.chars().collect();
for end in 1..n {
for start in 0..=end {
if data[start] == data[end] {
dp[start][end] = end - start < 2 || dp[start + 1][end - 1];
if dp[start][end] && end - start + 1 > ans.len() {
ans = &s[start..=end];
}
}
}
}
ans.to_string()
}
}
|
5 |
Longest Palindromic Substring
|
Medium
|
<p>Given a string <code>s</code>, return <em>the longest</em> <span data-keyword="palindromic-string"><em>palindromic</em></span> <span data-keyword="substring-nonempty"><em>substring</em></span> in <code>s</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "babad"
<strong>Output:</strong> "bab"
<strong>Explanation:</strong> "aba" is also a valid answer.
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "cbbd"
<strong>Output:</strong> "bb"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consist of only digits and English letters.</li>
</ul>
|
Two Pointers; String; Dynamic Programming
|
TypeScript
|
function longestPalindrome(s: string): string {
const n = s.length;
const f: boolean[][] = Array(n)
.fill(0)
.map(() => Array(n).fill(true));
let k = 0;
let mx = 1;
for (let i = n - 2; i >= 0; --i) {
for (let j = i + 1; j < n; ++j) {
f[i][j] = false;
if (s[i] === s[j]) {
f[i][j] = f[i + 1][j - 1];
if (f[i][j] && mx < j - i + 1) {
mx = j - i + 1;
k = i;
}
}
}
}
return s.slice(k, k + mx);
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
C
|
char* convert(char* s, int numRows) {
if (numRows == 1) {
return strdup(s);
}
int len = strlen(s);
char** g = (char**) malloc(numRows * sizeof(char*));
int* idx = (int*) malloc(numRows * sizeof(int));
for (int i = 0; i < numRows; ++i) {
g[i] = (char*) malloc((len + 1) * sizeof(char));
idx[i] = 0;
}
int i = 0, k = -1;
for (int p = 0; p < len; ++p) {
g[i][idx[i]++] = s[p];
if (i == 0 || i == numRows - 1) {
k = -k;
}
i += k;
}
char* ans = (char*) malloc((len + 1) * sizeof(char));
int pos = 0;
for (int r = 0; r < numRows; ++r) {
for (int j = 0; j < idx[r]; ++j) {
ans[pos++] = g[r][j];
}
free(g[r]);
}
ans[pos] = '\0';
free(g);
free(idx);
return ans;
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
C++
|
class Solution {
public:
string convert(string s, int numRows) {
if (numRows == 1) {
return s;
}
vector<string> g(numRows);
int i = 0, k = -1;
for (char c : s) {
g[i] += c;
if (i == 0 || i == numRows - 1) {
k = -k;
}
i += k;
}
string ans;
for (auto& t : g) {
ans += t;
}
return ans;
}
};
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
C#
|
public class Solution {
public string Convert(string s, int numRows) {
if (numRows == 1) {
return s;
}
int n = s.Length;
StringBuilder[] g = new StringBuilder[numRows];
for (int j = 0; j < numRows; ++j) {
g[j] = new StringBuilder();
}
int i = 0, k = -1;
foreach (char c in s.ToCharArray()) {
g[i].Append(c);
if (i == 0 || i == numRows - 1) {
k = -k;
}
i += k;
}
StringBuilder ans = new StringBuilder();
foreach (StringBuilder t in g) {
ans.Append(t);
}
return ans.ToString();
}
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
Go
|
func convert(s string, numRows int) string {
if numRows == 1 {
return s
}
g := make([][]byte, numRows)
i, k := 0, -1
for _, c := range s {
g[i] = append(g[i], byte(c))
if i == 0 || i == numRows-1 {
k = -k
}
i += k
}
return string(bytes.Join(g, nil))
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
Java
|
class Solution {
public String convert(String s, int numRows) {
if (numRows == 1) {
return s;
}
StringBuilder[] g = new StringBuilder[numRows];
Arrays.setAll(g, k -> new StringBuilder());
int i = 0, k = -1;
for (char c : s.toCharArray()) {
g[i].append(c);
if (i == 0 || i == numRows - 1) {
k = -k;
}
i += k;
}
return String.join("", g);
}
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
JavaScript
|
/**
* @param {string} s
* @param {number} numRows
* @return {string}
*/
var convert = function (s, numRows) {
if (numRows === 1) {
return s;
}
const g = new Array(numRows).fill(_).map(() => []);
let i = 0;
let k = -1;
for (const c of s) {
g[i].push(c);
if (i === 0 || i === numRows - 1) {
k = -k;
}
i += k;
}
return g.flat().join('');
};
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
PHP
|
class Solution {
/**
* @param String $s
* @param Integer $numRows
* @return String
*/
function convert($s, $numRows) {
if ($numRows == 1) {
return $s;
}
$g = array_fill(0, $numRows, "");
$i = 0;
$k = -1;
$length = strlen($s);
for ($j = 0; $j < $length; $j++) {
$c = $s[$j];
$g[$i] .= $c;
if ($i == 0 || $i == $numRows - 1) {
$k = -$k;
}
$i += $k;
}
return implode("", $g);
}
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
Python
|
class Solution:
def convert(self, s: str, numRows: int) -> str:
if numRows == 1:
return s
g = [[] for _ in range(numRows)]
i, k = 0, -1
for c in s:
g[i].append(c)
if i == 0 or i == numRows - 1:
k = -k
i += k
return ''.join(chain(*g))
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
Rust
|
impl Solution {
pub fn convert(s: String, num_rows: i32) -> String {
if num_rows == 1 {
return s;
}
let num_rows = num_rows as usize;
let mut g = vec![String::new(); num_rows];
let mut i = 0;
let mut k = -1;
for c in s.chars() {
g[i].push(c);
if i == 0 || i == num_rows - 1 {
k = -k;
}
i = (i as isize + k) as usize;
}
g.concat()
}
}
|
6 |
Zigzag Conversion
|
Medium
|
<p>The string <code>"PAYPALISHIRING"</code> is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)</p>
<pre>
P A H N
A P L S I I G
Y I R
</pre>
<p>And then read line by line: <code>"PAHNAPLSIIGYIR"</code></p>
<p>Write the code that will take a string and make this conversion given a number of rows:</p>
<pre>
string convert(string s, int numRows);
</pre>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 3
<strong>Output:</strong> "PAHNAPLSIIGYIR"
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> s = "PAYPALISHIRING", numRows = 4
<strong>Output:</strong> "PINALSIGYAHRPI"
<strong>Explanation:</strong>
P I N
A L S I G
Y A H R
P I
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> s = "A", numRows = 1
<strong>Output:</strong> "A"
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>1 <= s.length <= 1000</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), <code>','</code> and <code>'.'</code>.</li>
<li><code>1 <= numRows <= 1000</code></li>
</ul>
|
String
|
TypeScript
|
function convert(s: string, numRows: number): string {
if (numRows === 1) {
return s;
}
const g: string[][] = new Array(numRows).fill(0).map(() => []);
let i = 0;
let k = -1;
for (const c of s) {
g[i].push(c);
if (i === numRows - 1 || i === 0) {
k = -k;
}
i += k;
}
return g.flat().join('');
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
C
|
int reverse(int x) {
int ans = 0;
for (; x != 0; x /= 10) {
if (ans > INT_MAX / 10 || ans < INT_MIN / 10) {
return 0;
}
ans = ans * 10 + x % 10;
}
return ans;
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
C++
|
class Solution {
public:
int reverse(int x) {
int ans = 0;
for (; x; x /= 10) {
if (ans < INT_MIN / 10 || ans > INT_MAX / 10) {
return 0;
}
ans = ans * 10 + x % 10;
}
return ans;
}
};
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
C#
|
public class Solution {
public int Reverse(int x) {
int ans = 0;
for (; x != 0; x /= 10) {
if (ans < int.MinValue / 10 || ans > int.MaxValue / 10) {
return 0;
}
ans = ans * 10 + x % 10;
}
return ans;
}
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
Go
|
func reverse(x int) (ans int) {
for ; x != 0; x /= 10 {
if ans < math.MinInt32/10 || ans > math.MaxInt32/10 {
return 0
}
ans = ans*10 + x%10
}
return
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
Java
|
class Solution {
public int reverse(int x) {
int ans = 0;
for (; x != 0; x /= 10) {
if (ans < Integer.MIN_VALUE / 10 || ans > Integer.MAX_VALUE / 10) {
return 0;
}
ans = ans * 10 + x % 10;
}
return ans;
}
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
JavaScript
|
/**
* @param {number} x
* @return {number}
*/
var reverse = function (x) {
const mi = -(2 ** 31);
const mx = 2 ** 31 - 1;
let ans = 0;
for (; x != 0; x = ~~(x / 10)) {
if (ans < ~~(mi / 10) || ans > ~~(mx / 10)) {
return 0;
}
ans = ans * 10 + (x % 10);
}
return ans;
};
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
PHP
|
class Solution {
/**
* @param int $x
* @return int
*/
function reverse($x) {
$isNegative = $x < 0;
$x = abs($x);
$reversed = 0;
while ($x > 0) {
$reversed = $reversed * 10 + ($x % 10);
$x = (int) ($x / 10);
}
if ($isNegative) {
$reversed *= -1;
}
if ($reversed < -pow(2, 31) || $reversed > pow(2, 31) - 1) {
return 0;
}
return $reversed;
}
}
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
Python
|
class Solution:
def reverse(self, x: int) -> int:
ans = 0
mi, mx = -(2**31), 2**31 - 1
while x:
if ans < mi // 10 + 1 or ans > mx // 10:
return 0
y = x % 10
if x < 0 and y > 0:
y -= 10
ans = ans * 10 + y
x = (x - y) // 10
return ans
|
7 |
Reverse Integer
|
Medium
|
<p>Given a signed 32-bit integer <code>x</code>, return <code>x</code><em> with its digits reversed</em>. If reversing <code>x</code> causes the value to go outside the signed 32-bit integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then return <code>0</code>.</p>
<p><strong>Assume the environment does not allow you to store 64-bit integers (signed or unsigned).</strong></p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:</strong> x = 123
<strong>Output:</strong> 321
</pre>
<p><strong class="example">Example 2:</strong></p>
<pre>
<strong>Input:</strong> x = -123
<strong>Output:</strong> -321
</pre>
<p><strong class="example">Example 3:</strong></p>
<pre>
<strong>Input:</strong> x = 120
<strong>Output:</strong> 21
</pre>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>-2<sup>31</sup> <= x <= 2<sup>31</sup> - 1</code></li>
</ul>
|
Math
|
Rust
|
impl Solution {
pub fn reverse(mut x: i32) -> i32 {
let is_minus = x < 0;
match x
.abs()
.to_string()
.chars()
.rev()
.collect::<String>()
.parse::<i32>()
{
Ok(x) => x * (if is_minus { -1 } else { 1 }),
Err(_) => 0,
}
}
}
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
C
|
int myAtoi(char* s) {
int i = 0;
while (s[i] == ' ') {
i++;
}
int sign = 1;
if (s[i] == '-' || s[i] == '+') {
sign = (s[i] == '-') ? -1 : 1;
i++;
}
int res = 0;
while (isdigit(s[i])) {
int digit = s[i] - '0';
if (res > INT_MAX / 10 || (res == INT_MAX / 10 && digit > INT_MAX % 10)) {
return sign == 1 ? INT_MAX : INT_MIN;
}
res = res * 10 + digit;
i++;
}
return res * sign;
}
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
C++
|
class Solution {
public:
int myAtoi(string s) {
int i = 0, n = s.size();
while (i < n && s[i] == ' ')
++i;
int sign = 1;
if (i < n && (s[i] == '-' || s[i] == '+')) {
sign = s[i] == '-' ? -1 : 1;
++i;
}
int res = 0;
while (i < n && isdigit(s[i])) {
int digit = s[i] - '0';
if (res > INT_MAX / 10 || (res == INT_MAX / 10 && digit > INT_MAX % 10)) {
return sign == 1 ? INT_MAX : INT_MIN;
}
res = res * 10 + digit;
++i;
}
return res * sign;
}
};
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
C#
|
// https://leetcode.com/problems/string-to-integer-atoi/
public partial class Solution
{
public int MyAtoi(string str)
{
int i = 0;
long result = 0;
bool minus = false;
while (i < str.Length && char.IsWhiteSpace(str[i]))
{
++i;
}
if (i < str.Length)
{
if (str[i] == '+')
{
++i;
}
else if (str[i] == '-')
{
minus = true;
++i;
}
}
while (i < str.Length && char.IsDigit(str[i]))
{
result = result * 10 + str[i] - '0';
if (result > int.MaxValue)
{
break;
}
++i;
}
if (minus) result = -result;
if (result > int.MaxValue)
{
result = int.MaxValue;
}
if (result < int.MinValue)
{
result = int.MinValue;
}
return (int)result;
}
}
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
Go
|
func myAtoi(s string) int {
i, n := 0, len(s)
num := 0
for i < n && s[i] == ' ' {
i++
}
if i == n {
return 0
}
sign := 1
if s[i] == '-' {
sign = -1
i++
} else if s[i] == '+' {
i++
}
for i < n && s[i] >= '0' && s[i] <= '9' {
num = num*10 + int(s[i]-'0')
i++
if num > math.MaxInt32 {
break
}
}
if num > math.MaxInt32 {
if sign == -1 {
return math.MinInt32
}
return math.MaxInt32
}
return sign * num
}
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
Java
|
class Solution {
public int myAtoi(String s) {
if (s == null) return 0;
int n = s.length();
if (n == 0) return 0;
int i = 0;
while (s.charAt(i) == ' ') {
// 仅包含空格
if (++i == n) return 0;
}
int sign = 1;
if (s.charAt(i) == '-') sign = -1;
if (s.charAt(i) == '-' || s.charAt(i) == '+') ++i;
int res = 0, flag = Integer.MAX_VALUE / 10;
for (; i < n; ++i) {
// 非数字，跳出循环体
if (s.charAt(i) < '0' || s.charAt(i) > '9') break;
// 溢出判断
if (res > flag || (res == flag && s.charAt(i) > '7'))
return sign > 0 ? Integer.MAX_VALUE : Integer.MIN_VALUE;
res = res * 10 + (s.charAt(i) - '0');
}
return sign * res;
}
}
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
JavaScript
|
const myAtoi = function (str) {
str = str.trim();
if (!str) return 0;
let isPositive = 1;
let i = 0,
ans = 0;
if (str[i] === '+') {
isPositive = 1;
i++;
} else if (str[i] === '-') {
isPositive = 0;
i++;
}
for (; i < str.length; i++) {
let t = str.charCodeAt(i) - 48;
if (t > 9 || t < 0) break;
if (ans > 2147483647 / 10 || ans > (2147483647 - t) / 10) {
return isPositive ? 2147483647 : -2147483648;
} else {
ans = ans * 10 + t;
}
}
return isPositive ? ans : -ans;
};
|
8 |
String to Integer (atoi)
|
Medium
|
<p>Implement the <code>myAtoi(string s)</code> function, which converts a string to a 32-bit signed integer.</p>
<p>The algorithm for <code>myAtoi(string s)</code> is as follows:</p>
<ol>
<li><strong>Whitespace</strong>: Ignore any leading whitespace (<code>" "</code>).</li>
<li><strong>Signedness</strong>: Determine the sign by checking if the next character is <code>'-'</code> or <code>'+'</code>, assuming positivity if neither present.</li>
<li><strong>Conversion</strong>: Read the integer by skipping leading zeros until a non-digit character is encountered or the end of the string is reached. If no digits were read, then the result is 0.</li>
<li><strong>Rounding</strong>: If the integer is out of the 32-bit signed integer range <code>[-2<sup>31</sup>, 2<sup>31</sup> - 1]</code>, then round the integer to remain in the range. Specifically, integers less than <code>-2<sup>31</sup></code> should be rounded to <code>-2<sup>31</sup></code>, and integers greater than <code>2<sup>31</sup> - 1</code> should be rounded to <code>2<sup>31</sup> - 1</code>.</li>
</ol>
<p>Return the integer as the final result.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "42"</span></p>
<p><strong>Output:</strong> <span class="example-io">42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
The underlined characters are what is read in and the caret is the current reader position.
Step 1: "42" (no characters read because there is no leading whitespace)
^
Step 2: "42" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>42</u>" ("42" is read in)
^
</pre>
</div>
<p><strong class="example">Example 2:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = " -042"</span></p>
<p><strong>Output:</strong> <span class="example-io">-42</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "<u> </u>-042" (leading whitespace is read and ignored)
^
Step 2: " <u>-</u>042" ('-' is read, so the result should be negative)
^
Step 3: " -<u>042</u>" ("042" is read in, leading zeros ignored in the result)
^
</pre>
</div>
<p><strong class="example">Example 3:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "1337c0d3"</span></p>
<p><strong>Output:</strong> <span class="example-io">1337</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "1337c0d3" (no characters read because there is no leading whitespace)
^
Step 2: "1337c0d3" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>1337</u>c0d3" ("1337" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 4:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "0-1"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<pre>
Step 1: "0-1" (no characters read because there is no leading whitespace)
^
Step 2: "0-1" (no characters read because there is neither a '-' nor '+')
^
Step 3: "<u>0</u>-1" ("0" is read in; reading stops because the next character is a non-digit)
^
</pre>
</div>
<p><strong class="example">Example 5:</strong></p>
<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = "words and 987"</span></p>
<p><strong>Output:</strong> <span class="example-io">0</span></p>
<p><strong>Explanation:</strong></p>
<p>Reading stops at the first non-digit character 'w'.</p>
</div>
<p> </p>
<p><strong>Constraints:</strong></p>
<ul>
<li><code>0 <= s.length <= 200</code></li>
<li><code>s</code> consists of English letters (lower-case and upper-case), digits (<code>0-9</code>), <code>' '</code>, <code>'+'</code>, <code>'-'</code>, and <code>'.'</code>.</li>
</ul>
|
String
|
PHP
|
class Solution {
/**
* @param string $s
* @return int
*/
function myAtoi($s) {
$s = str_replace('e', 'x', $s);
if (intval($s) < pow(-2, 31)) {
return -2147483648;
}
if (intval($s) > pow(2, 31) - 1) {
return 2147483647;
}
return intval($s);
}
}
|
End of preview. Expand
in Data Studio
Doocs LeetCode Solutions
A comprehensive dataset of LeetCode problems and solutions created from the Doocs LeetCode repository. This dataset is designed for fine-tuning large language models to understand programming problems and generate code solutions.
Description
- Repository: Doocs LeetCode Solutions
- Total Problems: 3500+
- Total Solutions: 15,000+ (across multiple languages)
- Size: ~60 MB (Parquet format)
- Languages:
- C
- Cangjie
- C++
- C#
- Dart
- Go
- Java
- JavaScript
- Kotlin
- Nim
- PHP
- Python
- Ruby
- Rust
- Scala
- Bash
- SQL
- Swift
- TypeScript
Structure
Data Fields
| Field | Type | Description | Example |
|---|---|---|---|
id |
string |
Problem ID | "0001" |
title |
string |
Problem title (slugified) | "two-sum" |
difficulty |
string |
Problem difficulty level | "Easy", "Medium", "Hard" |
description |
string |
Problem description in Markdown | "Given an array of integers..." |
tags |
string |
Problem category tags | "Array; Hash Table" |
language |
string |
Programming language of solution | "Python", "Java", "C++" |
solution |
string |
Complete solution code | "class Solution:\n def..." |
Data Splits
The dataset contains a single comprehensive split containing all problems and solutions:
| Split | Problems | Solutions |
|---|---|---|
train |
3500+ | 15,000+ |
How to Use
Using Hugging Face datasets Library
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("olegshulyakov/doocs-leetcode-solutions")
# Access a sample
sample = dataset['train'][0]
print(f"Problem {sample['id']}: {sample['title']}")
print(f"Difficulty: {sample['difficulty']}")
print(f"Tags: {sample['tags']}")
print(f"Language: {sample['language']}")
print(f"Solution:\n{sample['solution']}")
Dataset Creation
Source Data
- Collected from Doocs LeetCode repository
- Solutions cover 14+ programming languages
- Includes problems from LeetCode's entire problem set
Preprocessing
- Repository cloned and processed using our dataset generator tool.
- Metadata extracted from README_EN.md files.
- Solution files parsed and mapped to programming languages.
- Special characters and encoding issues resolved.
Intended Use
Primary Use
- Fine-tuning code generation models
- Training programming problem-solving AI
- Educational purposes for learning algorithms
Possible Uses
- Benchmarking code generation models
- Studying programming patterns across languages
- Analyzing problem difficulty characteristics
- Creating programming tutorials and examples
Limitations
- Solutions may not be optimal (community solutions)
- Some edge cases might not be covered
- Problem descriptions may contain markdown/html formatting
- Limited to problems available in the Doocs repository
License
This dataset is licensed under the CC-BY-SA-4.0 License - see LICENSE file for details.
Copyright
The copyright of this project belongs to Doocs community.
Contact
For questions or issues regarding the dataset, please open an issue on GitHub.
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