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Question
Given a list of 2D points and an integer k, return the k points closest to the origin (0,0) by Euclidean distance. Return them sorted by ascending distance; ties broken by smaller x then smaller y. Constraints: 1 <= k <= len(points) <= 10^4, -10^4 <= coordinates <= 10^4.
Implement
k_closest_points(points: list[list[int]], k: int) → list[list[int]]Examples
in
[[[1,3],[-2,2]],1]out[[-2,2]]What a strong answer looks like
State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
Learn the concepts
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.
Run or narrate your approach, then ask the coach.