Solving Leetcode Interviews in Seconds with AI: Patching Array
Introduction
In this blog post, we will explore how to solve the LeetCode problem "330" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
Given a sorted integer array nums and an integer n, add/patch elements to the array such that any number in the range [1, n] inclusive can be formed by the sum of some elements in the array. Return the minimum number of patches required. Example 1: Input: nums = [1,3], n = 6 Output: 1 Explanation: Combinations of nums are [1], [3], [1,3], which form possible sums of: 1, 3, 4. Now if we add/patch 2 to nums, the combinations are: [1], [2], [3], [1,3], [2,3], [1,2,3]. Possible sums are 1, 2, 3, 4, 5, 6, which now covers the range [1, 6]. So we only need 1 patch. Example 2: Input: nums = [1,5,10], n = 20 Output: 2 Explanation: The two patches can be [2, 4]. Example 3: Input: nums = [1,2,2], n = 5 Output: 0 Constraints: 1 <= nums.length <= 1000 1 <= nums[i] <= 104 nums is sorted in ascending order. 1 <= n <= 231 - 1
Explanation
Here's an approach to solve the problem efficiently:
- Greedy Approach: Maintain a
reachablevariable, representing the largest number currently reachable. Iterate through thenumsarray. If the current number innumsis less than or equal toreachable + 1, we can extend our reachable range. If not, we need to patch a number equal toreachable + 1to extend our range. - Patching Strategy: When patching, always patch with
reachable + 1. This extends the reachable range toreachable + (reachable + 1) = 2 * reachable + 1, which is the maximum range extension possible with a single patch. Handling Large n: Keep patching until the
reachablerange coversn.Time & Space Complexity: O(m + log n) where m is the length of nums, O(1) Here's the Python code:
Code
def minPatches(nums, n):
patches = 0
reachable = 0
i = 0
while reachable < n:
if i < len(nums) and nums[i] <= reachable + 1:
reachable += nums[i]
i += 1
else:
reachable += reachable + 1
patches += 1
return patches