# Solving Leetcode Interviews in Seconds with AI: Make Array Zero by Subtracting Equal Amounts


	# Introduction
	In this blog post, we will explore how to solve the LeetCode problem "2357" 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 a non-negative integer array nums. In one operation, you must:  Choose a positive integer x such that x is less than or equal to the smallest non-zero element in nums. Subtract x from every positive element in nums.  Return the minimum number of operations to make every element in nums equal to 0.   Example 1:  Input: nums = [1,5,0,3,5] Output: 3 Explanation: In the first operation, choose x = 1. Now, nums = [0,4,0,2,4]. In the second operation, choose x = 2. Now, nums = [0,2,0,0,2]. In the third operation, choose x = 2. Now, nums = [0,0,0,0,0].  Example 2:  Input: nums = [0] Output: 0 Explanation: Each element in nums is already 0 so no operations are needed.    Constraints:  1 <= nums.length <= 100 0 <= nums[i] <= 100  

	# Explanation
	*   **Identify Unique Positive Elements:** The core idea is that each unique positive number in the array will require a separate operation to reduce it to zero.
*   **Count Distinct Positive Numbers:** Count the number of distinct positive elements, as this directly corresponds to the minimum number of operations.
*   **Handle Zeroes and Duplicates Efficiently:** Use a set to efficiently store and count only the distinct positive elements, automatically handling both zeroes and duplicates.

*   **Time Complexity:** O(n), where n is the length of the input array.
*   **Space Complexity:** O(n) in the worst case (if all elements are distinct and positive).

	
	# Code
	```python
	def minOperations(nums):
    """
    Calculates the minimum number of operations to make all elements in nums equal to 0.

    Args:
    nums: A list of non-negative integers.

    Returns:
    The minimum number of operations required.
    """

    distinct_positive_nums = set()
    for num in nums:
        if num > 0:
            distinct_positive_nums.add(num)

    return len(distinct_positive_nums)
	```