# Solving Leetcode Interviews in Seconds with AI: Minimum Elements to Add to Form a Given Sum


	# 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](https://www.chatmagic.app), 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
	```python
	import math

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