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Solving Leetcode Interviews in Seconds with AI: Make Two Arrays Equal by Reversing Subarrays

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2 min read

Introduction

In this blog post, we will explore how to solve the LeetCode problem "1460" 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 two integer arrays of equal length target and arr. In one step, you can select any non-empty subarray of arr and reverse it. You are allowed to make any number of steps. Return true if you can make arr equal to target or false otherwise. Example 1: Input: target = [1,2,3,4], arr = [2,4,1,3] Output: true Explanation: You can follow the next steps to convert arr to target: 1- Reverse subarray [2,4,1], arr becomes [1,4,2,3] 2- Reverse subarray [4,2], arr becomes [1,2,4,3] 3- Reverse subarray [4,3], arr becomes [1,2,3,4] There are multiple ways to convert arr to target, this is not the only way to do so. Example 2: Input: target = [7], arr = [7] Output: true Explanation: arr is equal to target without any reverses. Example 3: Input: target = [3,7,9], arr = [3,7,11] Output: false Explanation: arr does not have value 9 and it can never be converted to target. Constraints: target.length == arr.length 1 <= target.length <= 1000 1 <= target[i] <= 1000 1 <= arr[i] <= 1000

Explanation

Here's the approach and Python code:

  • Check for Permutation: The core idea is that if arr can be transformed into target through reversals, it implies arr and target must contain the same elements (i.e., they are permutations of each other). We can check this by comparing the sorted arrays or using frequency counts.
  • Reversals Preserve Element Counts: Reversing a subarray doesn't change the overall count of each element in the array. Therefore, if the element counts in arr and target differ, no amount of reversals will make them equal.

  • Runtime & Storage Complexity: O(n log n) due to sorting. O(1) storage (or O(n) depending on sort implementation).

Code

    def canBeEqual(target, arr):
    """
    Checks if arr can be transformed into target by reversing subarrays.

    Args:
        target: The target array.
        arr: The array to transform.

    Returns:
        True if arr can be transformed into target, False otherwise.
    """

    if len(target) != len(arr):
        return False

    target.sort()
    arr.sort()

    return target == arr

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