Question
Implement a token-bucket rate-limit check. The bucket has a `capacity` (max tokens), a `refill_rate` (tokens added per unit time), a current `tokens` count, the `last_refill` time, the current time `now`, and a request `cost`. First refill: add (now - last_refill) * refill_rate tokens, capped at capacity. Then if the bucket has at least `cost` tokens, the request is allowed: deduct the cost. Return a 2-element list [allowed, remaining_tokens] where allowed is a bool and remaining_tokens is the token count after the (possible) deduction. If not allowed, tokens are unchanged (after refill).
token_bucket_allow(capacity: int, refill_rate: int, tokens: int, last_refill: int, now: int, cost: int) → list[10,1,5,0,3,2]out[true,6]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.