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21 lines
753 B
Python
21 lines
753 B
Python
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def chebyshev_distance(point_a: list[float], point_b: list[float]) -> float:
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"""
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This function calculates the Chebyshev distance (also known as the
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Chessboard distance) between two n-dimensional points represented as lists.
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https://en.wikipedia.org/wiki/Chebyshev_distance
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>>> chebyshev_distance([1.0, 1.0], [2.0, 2.0])
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1.0
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>>> chebyshev_distance([1.0, 1.0, 9.0], [2.0, 2.0, -5.2])
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14.2
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>>> chebyshev_distance([1.0], [2.0, 2.0])
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Traceback (most recent call last):
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...
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ValueError: Both points must have the same dimension.
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"""
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if len(point_a) != len(point_b):
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raise ValueError("Both points must have the same dimension.")
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return max(abs(a - b) for a, b in zip(point_a, point_b))
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