Solving Leetcode Interviews in Seconds with AI: Adjacent Increasing Subarrays Detection I
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3349" 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 array nums of n integers and an integer k, determine whether there exist two adjacent subarrays of length k such that both subarrays are strictly increasing. Specifically, check if there are two subarrays starting at indices a and b (a < b), where: Both subarrays nums[a..a + k - 1] and nums[b..b + k - 1] are strictly increasing. The subarrays must be adjacent, meaning b = a + k. Return true if it is possible to find two such subarrays, and false otherwise. Example 1: Input: nums = [2,5,7,8,9,2,3,4,3,1], k = 3 Output: true Explanation: The subarray starting at index 2 is [7, 8, 9], which is strictly increasing. The subarray starting at index 5 is [2, 3, 4], which is also strictly increasing. These two subarrays are adjacent, so the result is true. Example 2: Input: nums = [1,2,3,4,4,4,4,5,6,7], k = 5 Output: false Constraints: 2 <= nums.length <= 100 1 < 2 * k <= nums.length -1000 <= nums[i] <= 1000
Explanation
Here's the solution:
- High-Level Approach: Iterate through the array, checking for strictly increasing subarrays of length
kat each possible starting index. If an increasing subarray is found, check if the adjacent subarray (startingkpositions later) is also strictly increasing. Returntrueimmediately if both conditions are met. - Complexity: O(n) time complexity, O(1) space complexity.
Code
def check_adjacent_increasing_subarrays(nums, k):
"""
Checks if there exist two adjacent subarrays of length k such that both subarrays are strictly increasing.
Args:
nums: A list of integers.
k: The length of the subarrays.
Returns:
True if it is possible to find two such subarrays, and False otherwise.
"""
n = len(nums)
def is_strictly_increasing(arr):
"""Helper function to check if a subarray is strictly increasing."""
for i in range(len(arr) - 1):
if arr[i] >= arr[i + 1]:
return False
return True
for i in range(n - 2 * k + 1):
subarray1 = nums[i:i + k]
subarray2 = nums[i + k:i + 2 * k]
if is_strictly_increasing(subarray1) and is_strictly_increasing(subarray2):
return True
return False