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Coding/Data and ML code

Euclidean and Manhattan distance

Write codeEasy12 min

Your task

Given two equal-length numeric vectors, return both their Euclidean (L2) distance and their Manhattan (L1) distance as a two-element list [euclidean, manhattan]. Euclidean distance is the square root of the sum of squared differences; Manhattan distance is the sum of absolute differences. Inputs are non-empty lists of the same length. Round each distance to 4 decimal places.

Examples

distances(a: list[float], b: list[float]) -> list[float]
Example 1
Inputdistances([0, 0], [3, 4])
Output[5, 7]