You are given a grid made of horizontal and vertical bars. You can remove specific horizontal and vertical bars given to you in two separate arrays. When bars are removed, adjacent grid cells merge to form larger holes. Your goal is to determine the area of the maximum perfect square hole you can form by removing the allowed bars.
This is a geometry and array problem. Interviewers use it to see if candidates can decouple a 2D spatial problem into two independent 1D problems. Attempting to simulate the 2D grid and the hole merging physically is extremely complex and slow. The optimal solution requires recognizing that the width and height of the hole are determined independently by the longest contiguous sequence of removed bars in each direction.
This problem relies on the Sorting and Contiguous Sequence pattern.
hBars array and the vBars array.hBars. Let the length of this sequence be max_h. The max height gap is max_h + 1.vBars. Let the length be max_v. The max width gap is max_v + 1.side = min(max_h + 1, max_v + 1). The area is side * side.Allowed removals: hBars = [3, 2, 4], vBars = [4, 2].
hBars: [2, 3, 4].
vBars: [2, 4].
[2] or [4]).min(4, 2) = 2.
Max square area = .The most frequent mistake is assuming the array of bars is already sorted. If you iterate through hBars = [3, 2, 4] without sorting, you will calculate a max consecutive length of 1, resulting in completely wrong dimensions. Another mistake is calculating the area of the maximum rectangular hole instead of restricting it to a square. You must apply the min() function to the dimensions before squaring.
For the Maximize Area of Square Hole coding problem, always look for opportunities to decouple 2D problems. If operations on rows do not affect operations on columns, solve the rows as a 1D array problem, solve the columns as a 1D array problem, and then mathematically combine the two independent results at the very end.
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