Question
Deduplicate a change-data stream keeping the latest version per key. You are given events as [key, version, payload] where key is a string, version is an int (higher = newer), and payload is a string. Multiple events may share a key. Produce the materialized table: for each distinct key, keep only the event with the highest version (versions are unique within a key). Return the surviving events as [key, version, payload] sorted ascending by key.
dedup_latest(events: list[list]) → list[list][[["a",1,"old"],["a",3,"new"],["b",2,"x"]]]out[["a",3,"new"],["b",2,"x"]]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.
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.