LeetCode

Problem Requirement The input gives an integer array nums and an integer target. Every value in nums is distinct, and the array was strictly increasing before rotation. Before the method is called, it may be rotated at an unknown index k (0 <= k < nums.length) into: [nums[k], ..., nums[n-1], nums[0], ..., nums[k-1]] Return the index of target in the rotated array when it exists; otherwise return -1. The problem requires an algorithm with O(log n) runtime. ...

Problem Requirement You are given a circular integer array nums. Return an array answer. For every index i: answer[i] = the first value strictly greater than nums[i] when moving right If one full trip around the array finds no greater value, answer[i] = -1. “Circular” means that moving past the final position continues from index 0. An index cannot travel one full circle and use itself as its own answer. ...

Problem Requirement You are given a non-negative integer array heights. Each heights[i] is the height of a bar with width 1, and all bars are adjacent. Return the area of the largest rectangle that can be formed in the histogram. A legal rectangle covers a contiguous interval of bars. Its width is the number of bars in that interval, and its height cannot exceed the shortest bar in the interval. ...

Problem Requirement You are given a non-empty integer array nums. Exactly one element appears once. Every other element appears exactly twice. Return the element that appears once. LeetCode provides this method contract: singleNumber(nums: List[int]) -> int The solution must also satisfy two resource requirements: O(n) time O(1) extra space Example 1 Input: nums = [2,2,1] Output: 1 2 appears twice. Only 1 appears once. Example 2 Input: nums = [4,1,2,1,2] Output: 4 Both 1 and 2 have matching copies. Only 4 remains unpaired. ...

Problem Requirement Given a positive integer n, return the number of 1 bits in its binary representation. This count is also called the Hamming weight. LeetCode provides this method contract: hammingWeight(n: int) -> int Example 1 Input: n = 11 Binary: 1011 Output: 3 Example 2 Input: n = 128 Binary: 10000000 Output: 1 Constraints 1 <= n <= 2^31 - 1 The input stays in the problem’s non-negative integer domain. Although the current constraints start at 1, the implementation also handles n = 0 naturally and returns 0. ...

Problem Requirement Given a non-negative integer n, return an array answer of length n + 1. For every index: answer[i] = the number of 1 bits in the binary representation of i The requested range includes both 0 and n. LeetCode provides this method contract: countBits(n: int) -> List[int] Example 1 Input: n = 2 Output: [0,1,1] 0 -> 0 -> 0 set bits 1 -> 1 -> 1 set bit 2 -> 10 -> 1 set bit Example 2 Input: n = 5 Output: [0,1,1,2,1,2] Constraints 0 <= n <= 10^5 Step 1: This Time We Need Every Answer From 0 to n LeetCode 191 asks for one integer’s set-bit count. For n = 5, this problem asks for all six related answers: ...

Problem Requirement You are given an integer array temperatures, where temperatures[i] is the temperature on day i. Return an array answer where: answer[i] = the number of days after day i until a warmer temperature If no later day is warmer, answer[i] = 0. “Warmer” means strictly greater. An equal temperature does not resolve a waiting day. LeetCode provides this method contract: dailyTemperatures(temperatures: List[int]) -> List[int] Example Input: temperatures = [73,74,75,71,69,72,76,73] Output: [1,1,4,2,1,1,0,0] Constraints 1 <= temperatures.length <= 10^5 30 <= temperatures[i] <= 100 Step 1: The Answer Is a Waiting Time, Not a Temperature Start with a smaller input: ...

Subtitle / Summary Jump Game II is not just reachability. It asks how many coverage layers are needed to reach the last index. Reading time: 8-10 min Tags: Hot100, greedy, array, reachability boundary SEO keywords: LeetCode 45, Jump Game II, greedy, current_end, farthest, minimum jumps Meta description: A pressure-first Python guide to LeetCode 45 that derives the minimum-jump greedy scan from coverage layers. Problem Requirement You are given an integer array nums. ...

Subtitle / Summary Non-overlapping Intervals is easier when you stop asking which interval to delete first. First ask how many intervals can remain. Reading time: 8-10 min Tags: Hot100, greedy, intervals, sorting SEO keywords: LeetCode 435, Non-overlapping Intervals, greedy, interval greedy Meta description: A pressure-first Python guide to LeetCode 435 that derives minimum removals from maximum kept intervals and an earliest-ending greedy scan. Problem Requirement You are given an array of intervals intervals. ...

Subtitle / Summary A single arrow does not belong to one balloon. It belongs to a group of balloon intervals that share at least one x-position. Reading time: 9-11 min Tags: Hot100, greedy, intervals, sorting SEO keywords: LeetCode 452, Minimum Number of Arrows to Burst Balloons, greedy, interval greedy Meta description: A pressure-first Python guide to LeetCode 452 that derives shared intersections, an intersection-scanning baseline, and the final arrow position greedy. Problem Requirement You are given an array points. ...