chebyshev_distance.py

defchebyshev_distance(point_a: list[float], point_b: list[float]) ->float:
"""
 This function calculates the Chebyshev distance (also known as the
 Chessboard distance) between two n-dimensional points represented as lists.

 https://en.wikipedia.org/wiki/Chebyshev_distance

 >>> chebyshev_distance([1.0, 1.0], [2.0, 2.0])
 1.0
 >>> chebyshev_distance([1.0, 1.0, 9.0], [2.0, 2.0, -5.2])
 14.2
 >>> chebyshev_distance([1.0], [2.0, 2.0])
 Traceback (most recent call last):
 ...
 ValueError: Both points must have the same dimension.
 """
iflen(point_a) !=len(point_b):
raiseValueError("Both points must have the same dimension.")

returnmax(abs(a-b) fora, binzip(point_a, point_b))