Function manhattan_distance_one_liner

maths/manhattan_distance.py:81–120

Version with one liner >>> manhattan_distance_one_liner([1,1], [2,2]) 2.0 >>> manhattan_distance_one_liner([1.5,1.5], [2,2]) 1.0 >>> manhattan_distance_one_liner([1.5,1.5], [2.5,2]) 1.5 >>> manhattan_distance_one_liner([-3, -3, -3], [0, 0, 0]) 9.0 >>> manhat

(point_a: list, point_b: list)

def manhattan_distance_one_liner(point_a: list, point_b: list) -> float:
    """
    Version with one liner

    >>> manhattan_distance_one_liner([1,1], [2,2])
    2.0
    >>> manhattan_distance_one_liner([1.5,1.5], [2,2])
    1.0
    >>> manhattan_distance_one_liner([1.5,1.5], [2.5,2])
    1.5
    >>> manhattan_distance_one_liner([-3, -3, -3], [0, 0, 0])
    9.0
    >>> manhattan_distance_one_liner([1,1], None)
    Traceback (most recent call last):
         ...
    ValueError: Missing an input
    >>> manhattan_distance_one_liner([1,1], [2, 2, 2])
    Traceback (most recent call last):
         ...
    ValueError: Both points must be in the same n-dimensional space
    >>> manhattan_distance_one_liner([1,"one"], [2, 2, 2])
    Traceback (most recent call last):
         ...
    TypeError: Expected a list of numbers as input, found str
    >>> manhattan_distance_one_liner(1, [2, 2, 2])
    Traceback (most recent call last):
         ...
    TypeError: Expected a list of numbers as input, found int
    >>> manhattan_distance_one_liner([1,1], "not_a_list")
    Traceback (most recent call last):
         ...
    TypeError: Expected a list of numbers as input, found str
    """

    _validate_point(point_a)
    _validate_point(point_b)
    if len(point_a) != len(point_b):
        raise ValueError("Both points must be in the same n-dimensional space")

    return float(sum(abs(x - y) for x, y in zip(point_a, point_b)))


if __name__ == "__main__":