Solving Leetcode Interviews in Seconds with AI: Count Subarrays of Length Three With a Condition
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3392" 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 an integer array nums, return the number of subarrays of length 3 such that the sum of the first and third numbers equals exactly half of the second number. Example 1: Input: nums = [1,2,1,4,1] Output: 1 Explanation: Only the subarray [1,4,1] contains exactly 3 elements where the sum of the first and third numbers equals half the middle number. Example 2: Input: nums = [1,1,1] Output: 0 Explanation: [1,1,1] is the only subarray of length 3. However, its first and third numbers do not add to half the middle number. Constraints: 3 <= nums.length <= 100 -100 <= nums[i] <= 100
Explanation
Here's the breakdown of the solution:
- Iterate through subarrays of length 3: The core idea is to examine each possible subarray of length 3 within the given array.
- Check the condition: For each subarray, verify if the sum of the first and third elements is equal to half of the second element.
Count valid subarrays: Increment a counter each time the condition is met.
Runtime Complexity: O(n), where n is the length of the input array. Storage Complexity: O(1).
Code
def count_subarrays(nums):
"""
Counts the number of subarrays of length 3 where the sum of the first and third
numbers equals half of the second number.
Args:
nums: A list of integers.
Returns:
The number of subarrays that satisfy the condition.
"""
count = 0
for i in range(len(nums) - 2):
if nums[i] + nums[i + 2] == nums[i + 1] / 2:
count += 1
return count