p

```
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))
```