Solving Leetcode Interviews in Seconds with AI: Minimum Operations to Collect Elements
Introduction
In this blog post, we will explore how to solve the LeetCode problem "2869" 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 array nums of positive integers and an integer k. In one operation, you can remove the last element of the array and add it to your collection. Return the minimum number of operations needed to collect elements 1, 2, ..., k. Example 1: Input: nums = [3,1,5,4,2], k = 2 Output: 4 Explanation: After 4 operations, we collect elements 2, 4, 5, and 1, in this order. Our collection contains elements 1 and 2. Hence, the answer is 4. Example 2: Input: nums = [3,1,5,4,2], k = 5 Output: 5 Explanation: After 5 operations, we collect elements 2, 4, 5, 1, and 3, in this order. Our collection contains elements 1 through 5. Hence, the answer is 5. Example 3: Input: nums = [3,2,5,3,1], k = 3 Output: 4 Explanation: After 4 operations, we collect elements 1, 3, 5, and 2, in this order. Our collection contains elements 1 through 3. Hence, the answer is 4. Constraints: 1 <= nums.length <= 50 1 <= nums[i] <= nums.length 1 <= k <= nums.length The input is generated such that you can collect elements 1, 2, ..., k.
Explanation
Here's the breakdown of the approach, complexity, and the Python code:
High-Level Approach:
- Iterate through the
numsarray from the end. - Keep track of the numbers from 1 to
kthat we still need to collect. - Increment the operation count with each iteration. Stop when we have collected all numbers from 1 to
k.
- Iterate through the
Complexity:
- Runtime Complexity: O(n), where n is the length of the nums array.
- Storage Complexity: O(k), where k is the input integer.
Code
def minOperations(nums, k):
"""
Calculates the minimum number of operations to collect elements 1 to k from the end of the array.
Args:
nums (list of int): The input array of positive integers.
k (int): The target integer.
Returns:
int: The minimum number of operations needed.
"""
needed = set(range(1, k + 1))
operations = 0
for i in range(len(nums) - 1, -1, -1):
operations += 1
if nums[i] in needed:
needed.remove(nums[i])
if not needed:
return operations
return operations # Should not reach here based on the problem constraints, but included for completeness