A product team views a grid of net engagement changes per screen region in grid. They want to highlight the rectangle of neighboring cells with the largest total.
Write hottestRectangle(grid) that returns the largest total of any rectangle of at least one cell.
Input: grid = [[1,-2,3],[-1,4,-5],[2,1,-1]] Output: 6
The 2 by 2 block [[-1, 4], [2, 1]] in the bottom-left totals 6.
Input: grid = [[-3,-1],[-4,-2]] Output: -1
Every cell is negative, so the best rectangle is the single cell -1.
1 <= rows, cols <= 100-1000 <= grid[r][c] <= 1000Run tries your code on the examples. Submit runs every test, including hidden edge cases, and solves the problem when they all pass.
Ctrl + Enter runs, Ctrl + Shift + Enter submits (⌘ on a Mac).
I'm here to help with #66 Hottest Rectangle in a Heatmap. I give hints, never the solution, so you get to solve it yourself. Ask for a hint, select code to ask about it, or press Ask Tuto why on a failing test.
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