Question
You receive a list of event dicts each with keys 'id', 'ts' (int timestamp), and 'status'. Deduplicate so that for each 'id' only the record with the largest 'ts' survives; if two records share the same id and ts, the one appearing later in the input wins. Return the surviving records sorted by 'id' ascending. The input may be empty and ids may repeat any number of times.
latest_per_id(events: list[dict]) → list[dict][[{"id":1,"ts":10,"status":"old"},{"id":1,"ts":20,"status":"new"},{"id":2,"ts":5,"status":"x"}]]out[{"id":1,"ts":20,"status":"new"},{"id":2,"ts":5,"status":"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.