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// #Easy #Top_100_Liked_Questions #Top_Interview_Questions #Array #Hash_Table | ||
// #Data_Structure_I_Day_2_Array #Level_1_Day_13_Hashmap #Udemy_Arrays #Big_O_Time_O(n)_Space_O(n) | ||
// #2024_08_24_Time_0_ms_(100.00%)_Space_2.4_MB_(23.16%) | ||
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use std::collections::HashMap; | ||
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impl Solution { | ||
pub fn two_sum(numbers: Vec<i32>, target: i32) -> Vec<i32> { | ||
let mut index_map: HashMap<i32, usize> = HashMap::new(); | ||
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for (i, &num) in numbers.iter().enumerate() { | ||
let required_num = target - num; | ||
if let Some(&index) = index_map.get(&required_num) { | ||
return vec![index as i32, i as i32]; | ||
} | ||
index_map.insert(num, i); | ||
} | ||
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vec![-1, -1] | ||
} | ||
} |
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1\. Two Sum | ||
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Easy | ||
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Given an array of integers `nums` and an integer `target`, return _indices of the two numbers such that they add up to `target`_. | ||
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You may assume that each input would have **_exactly_ one solution**, and you may not use the _same_ element twice. | ||
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You can return the answer in any order. | ||
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**Example 1:** | ||
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**Input:** nums = [2,7,11,15], target = 9 | ||
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**Output:** [0,1] | ||
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**Output:** Because nums[0] + nums[1] == 9, we return [0, 1]. | ||
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**Example 2:** | ||
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**Input:** nums = [3,2,4], target = 6 | ||
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**Output:** [1,2] | ||
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**Example 3:** | ||
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**Input:** nums = [3,3], target = 6 | ||
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**Output:** [0,1] | ||
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**Constraints:** | ||
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* <code>2 <= nums.length <= 10<sup>4</sup></code> | ||
* <code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code> | ||
* <code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code> | ||
* **Only one valid answer exists.** | ||
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**Follow-up:** Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>) </code>time complexity? |
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54
src/main/rust/g0001_0100/s0002_add_two_numbers/Solution.rs
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// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #Math #Linked_List #Recursion | ||
// #Data_Structure_II_Day_10_Linked_List #Programming_Skills_II_Day_15 | ||
// #Big_O_Time_O(max(N,M))_Space_O(max(N,M)) #2024_08_24_Time_0_ms_(100.00%)_Space_2.2_MB_(14.25%) | ||
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// 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( | ||
l1: Option<Box<ListNode>>, | ||
l2: Option<Box<ListNode>> | ||
) -> Option<Box<ListNode>> { | ||
let mut p = l1; | ||
let mut q = l2; | ||
let mut dummy_head = Box::new(ListNode::new(0)); | ||
let mut curr = &mut dummy_head; | ||
let mut carry = 0; | ||
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while p.is_some() || q.is_some() { | ||
let x = p.as_ref().map_or(0, |node| node.val); | ||
let y = q.as_ref().map_or(0, |node| node.val); | ||
let sum = carry + x + y; | ||
carry = sum / 10; | ||
curr.next = Some(Box::new(ListNode::new(sum % 10))); | ||
curr = curr.next.as_mut().unwrap(); | ||
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if let Some(node) = p { | ||
p = node.next; | ||
} | ||
if let Some(node) = q { | ||
q = node.next; | ||
} | ||
} | ||
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if carry > 0 { | ||
curr.next = Some(Box::new(ListNode::new(carry))); | ||
} | ||
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dummy_head.next | ||
} | ||
} |
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2\. Add Two Numbers | ||
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Medium | ||
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You are given two **non-empty** linked lists representing two non-negative integers. The digits are stored in **reverse order**, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list. | ||
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You may assume the two numbers do not contain any leading zero, except the number 0 itself. | ||
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**Example 1:** | ||
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![](https://assets.leetcode.com/uploads/2020/10/02/addtwonumber1.jpg) | ||
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**Input:** l1 = [2,4,3], l2 = [5,6,4] | ||
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**Output:** [7,0,8] | ||
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**Explanation:** 342 + 465 = 807. | ||
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**Example 2:** | ||
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**Input:** l1 = [0], l2 = [0] | ||
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**Output:** [0] | ||
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**Example 3:** | ||
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**Input:** l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9] | ||
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**Output:** [8,9,9,9,0,0,0,1] | ||
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**Constraints:** | ||
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* The number of nodes in each linked list is in the range `[1, 100]`. | ||
* `0 <= Node.val <= 9` | ||
* It is guaranteed that the list represents a number that does not have leading zeros. |
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src/main/rust/g0001_0100/s0003_longest_substring_without_repeating_characters/Solution.rs
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// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #String #Hash_Table #Sliding_Window | ||
// #Algorithm_I_Day_6_Sliding_Window #Level_2_Day_14_Sliding_Window/Two_Pointer #Udemy_Strings | ||
// #Big_O_Time_O(n)_Space_O(1) #2024_08_24_Time_0_ms_(100.00%)_Space_2.3_MB_(28.72%) | ||
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impl Solution { | ||
pub fn length_of_longest_substring(s: String) -> i32 { | ||
// Array to store last seen indices of characters | ||
let mut last_indices = [-1; 256]; | ||
let mut max_len = 0; | ||
let mut cur_len = 0; | ||
let mut start = 0; | ||
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// Convert string to bytes to use indexing | ||
let bytes = s.as_bytes(); | ||
for (i, &cur) in bytes.iter().enumerate() { | ||
// Cast byte to usize to use as an index | ||
let cur = cur as usize; | ||
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if last_indices[cur] < start as i32 { | ||
last_indices[cur] = i as i32; | ||
cur_len += 1; | ||
} else { | ||
let last_index = last_indices[cur]; | ||
start = (last_index + 1) as usize; | ||
cur_len = i - start + 1; | ||
last_indices[cur] = i as i32; | ||
} | ||
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if cur_len > max_len { | ||
max_len = cur_len; | ||
} | ||
} | ||
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max_len as i32 | ||
} | ||
} |
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.../rust/g0001_0100/s0003_longest_substring_without_repeating_characters/readme.md
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3\. Longest Substring Without Repeating Characters | ||
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Medium | ||
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Given a string `s`, find the length of the **longest substring** without repeating characters. | ||
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**Example 1:** | ||
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**Input:** s = "abcabcbb" | ||
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**Output:** 3 | ||
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**Explanation:** The answer is "abc", with the length of 3. | ||
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**Example 2:** | ||
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**Input:** s = "bbbbb" | ||
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**Output:** 1 | ||
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**Explanation:** The answer is "b", with the length of 1. | ||
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**Example 3:** | ||
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**Input:** s = "pwwkew" | ||
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**Output:** 3 | ||
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**Explanation:** 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. | ||
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**Example 4:** | ||
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**Input:** s = "" | ||
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**Output:** 0 | ||
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**Constraints:** | ||
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* <code>0 <= s.length <= 5 * 10<sup>4</sup></code> | ||
* `s` consists of English letters, digits, symbols and spaces. |
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src/main/rust/g0001_0100/s0004_median_of_two_sorted_arrays/Solution.rs
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// #Hard #Top_100_Liked_Questions #Top_Interview_Questions #Array #Binary_Search #Divide_and_Conquer | ||
// #Big_O_Time_O(log(min(N,M)))_Space_O(1) #2024_08_24_Time_0_ms_(100.00%)_Space_2.2_MB_(39.80%) | ||
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impl Solution { | ||
pub fn find_median_sorted_arrays(nums1: Vec<i32>, nums2: Vec<i32>) -> f64 { | ||
let (nums1, nums2) = if nums1.len() > nums2.len() { | ||
// Ensures nums1 is the smaller array | ||
(nums2, nums1) | ||
} else { | ||
(nums1, nums2) | ||
}; | ||
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let n1 = nums1.len(); | ||
let n2 = nums2.len(); | ||
let mut low = 0; | ||
let mut high = n1; | ||
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while low <= high { | ||
let cut1 = (low + high) / 2; | ||
let cut2 = (n1 + n2 + 1) / 2 - cut1; | ||
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let l1 = if cut1 == 0 { i32::MIN } else { nums1[cut1 - 1] }; | ||
let l2 = if cut2 == 0 { i32::MIN } else { nums2[cut2 - 1] }; | ||
let r1 = if cut1 == n1 { i32::MAX } else { nums1[cut1] }; | ||
let r2 = if cut2 == n2 { i32::MAX } else { nums2[cut2] }; | ||
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if l1 <= r2 && l2 <= r1 { | ||
// Found the correct partition | ||
if (n1 + n2) % 2 == 0 { | ||
return (f64::from(l1.max(l2)) + f64::from(r1.min(r2))) / 2.0; | ||
} else { | ||
return f64::from(l1.max(l2)); | ||
} | ||
} else if l1 > r2 { | ||
high = cut1 - 1; | ||
} else { | ||
low = cut1 + 1; | ||
} | ||
} | ||
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// Fallback case, should never hit | ||
0.0 | ||
} | ||
} |
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src/main/rust/g0001_0100/s0004_median_of_two_sorted_arrays/readme.md
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4\. Median of Two Sorted Arrays | ||
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Hard | ||
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Given two sorted arrays `nums1` and `nums2` of size `m` and `n` respectively, return **the median** of the two sorted arrays. | ||
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The overall run time complexity should be `O(log (m+n))`. | ||
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**Example 1:** | ||
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**Input:** nums1 = [1,3], nums2 = [2] | ||
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**Output:** 2.00000 | ||
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**Explanation:** merged array = [1,2,3] and median is 2. | ||
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**Example 2:** | ||
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**Input:** nums1 = [1,2], nums2 = [3,4] | ||
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**Output:** 2.50000 | ||
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**Explanation:** merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5. | ||
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**Example 3:** | ||
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**Input:** nums1 = [0,0], nums2 = [0,0] | ||
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**Output:** 0.00000 | ||
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**Example 4:** | ||
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**Input:** nums1 = [], nums2 = [1] | ||
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**Output:** 1.00000 | ||
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**Example 5:** | ||
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**Input:** nums1 = [2], nums2 = [] | ||
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**Output:** 2.00000 | ||
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**Constraints:** | ||
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* `nums1.length == m` | ||
* `nums2.length == n` | ||
* `0 <= m <= 1000` | ||
* `0 <= n <= 1000` | ||
* `1 <= m + n <= 2000` | ||
* <code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code> |
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src/main/rust/g0001_0100/s0005_longest_palindromic_substring/Solution.rs
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// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #String #Dynamic_Programming | ||
// #Data_Structure_II_Day_9_String #Algorithm_II_Day_14_Dynamic_Programming | ||
// #Dynamic_Programming_I_Day_17 #Udemy_Strings #Big_O_Time_O(n)_Space_O(n) | ||
// #2024_08_24_Time_1_ms_(92.60%)_Space_2.2_MB_(20.49%) | ||
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impl Solution { | ||
pub fn longest_palindrome(s: String) -> String { | ||
let n = s.len(); | ||
if n == 0 { | ||
return String::new(); | ||
} | ||
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// Step 1: Transform the string to avoid even/odd length issues | ||
let mut new_str = Vec::with_capacity(n * 2 + 1); | ||
new_str.push('#'); | ||
for c in s.chars() { | ||
new_str.push(c); | ||
new_str.push('#'); | ||
} | ||
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let m = new_str.len(); | ||
let mut dp = vec![0; m]; | ||
let mut friend_center = 0; | ||
let mut friend_radius = 0; | ||
let mut lps_center = 0; | ||
let mut lps_radius = 0; | ||
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// Step 2: Apply Manacher's Algorithm | ||
for i in 0..m { | ||
dp[i] = if friend_center + friend_radius > i { | ||
dp[2 * friend_center - i].min(friend_center + friend_radius - i) | ||
} else { | ||
1 | ||
}; | ||
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while i + dp[i] < m && i >= dp[i] && new_str[i + dp[i]] == new_str[i - dp[i]] { | ||
dp[i] += 1; | ||
} | ||
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if friend_center + friend_radius < i + dp[i] { | ||
friend_center = i; | ||
friend_radius = dp[i]; | ||
} | ||
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if lps_radius < dp[i] { | ||
lps_center = i; | ||
lps_radius = dp[i]; | ||
} | ||
} | ||
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// Step 3: Extract the longest palindromic substring | ||
let start = (lps_center - lps_radius + 1) / 2; | ||
let end = (lps_center + lps_radius - 1) / 2; | ||
s[start..end].to_string() | ||
} | ||
} |
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