Introduction

In this blog post, we will explore how to solve the LeetCode problem "1785" 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

You are given an integer array nums and two integers limit and goal. The array nums has an interesting property that abs(nums[i]) <= limit. Return the minimum number of elements you need to add to make the sum of the array equal to goal. The array must maintain its property that abs(nums[i]) <= limit. Note that abs(x) equals x if x >= 0, and -x otherwise. Example 1: Input: nums = [1,-1,1], limit = 3, goal = -4 Output: 2 Explanation: You can add -2 and -3, then the sum of the array will be 1 - 1 + 1 - 2 - 3 = -4. Example 2: Input: nums = [1,-10,9,1], limit = 100, goal = 0 Output: 1 Constraints: 1 <= nums.length <= 105 1 <= limit <= 106 -limit <= nums[i] <= limit -109 <= goal <= 109

Explanation

Here's the solution:

• Calculate the difference between the current sum of the nums array and the goal.

• Divide the absolute value of this difference by the limit and take the ceiling of the result. This provides the minimum number of elements needed to reach the goal while adhering to the limit constraint.

• Runtime Complexity: O(n), Storage Complexity: O(1)

Code

    import math

def minElements(nums, limit, goal):
    current_sum = sum(nums)
    diff = goal - current_sum
    return math.ceil(abs(diff) / limit)