mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-12-24 20:20:16 +00:00
21 lines
753 B
Python
21 lines
753 B
Python
|
def chebyshev_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.
|
||
|
|
"""
|
||
|
|
if len(point_a) != len(point_b):
|
||
|
|
raise ValueError("Both points must have the same dimension.")
|
||
|
|
|
||
|
|
return max(abs(a - b) for a, b in zip(point_a, point_b))
|