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61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
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"""
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Given an array of non-negative integers representing an elevation map where the width
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of each bar is 1, this program calculates how much rainwater can be trapped.
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Example - height = (0, 1, 0, 2, 1, 0, 1, 3, 2, 1, 2, 1)
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Output: 6
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This problem can be solved using the concept of "DYNAMIC PROGRAMMING".
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We calculate the maximum height of bars on the left and right of every bar in array.
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Then iterate over the width of structure and at each index.
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The amount of water that will be stored is equal to minimum of maximum height of bars
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on both sides minus height of bar at current position.
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"""
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def trapped_rainwater(heights: tuple[int, ...]) -> int:
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"""
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The trapped_rainwater function calculates the total amount of rainwater that can be
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trapped given an array of bar heights.
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It uses a dynamic programming approach, determining the maximum height of bars on
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both sides for each bar, and then computing the trapped water above each bar.
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The function returns the total trapped water.
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>>> trapped_rainwater((0, 1, 0, 2, 1, 0, 1, 3, 2, 1, 2, 1))
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6
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>>> trapped_rainwater((7, 1, 5, 3, 6, 4))
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9
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>>> trapped_rainwater((7, 1, 5, 3, 6, -1))
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Traceback (most recent call last):
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...
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ValueError: No height can be negative
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"""
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if not heights:
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return 0
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if any(h < 0 for h in heights):
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raise ValueError("No height can be negative")
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length = len(heights)
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left_max = [0] * length
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left_max[0] = heights[0]
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for i, height in enumerate(heights[1:], start=1):
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left_max[i] = max(height, left_max[i - 1])
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right_max = [0] * length
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right_max[-1] = heights[-1]
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for i in range(length - 2, -1, -1):
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right_max[i] = max(heights[i], right_max[i + 1])
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return sum(
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min(left, right) - height
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for left, right, height in zip(left_max, right_max, heights)
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)
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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print(f"{trapped_rainwater((0, 1, 0, 2, 1, 0, 1, 3, 2, 1, 2, 1)) = }")
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print(f"{trapped_rainwater((7, 1, 5, 3, 6, 4)) = }")
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