Question
Simulate a fixed thread pool with W worker threads pulling from a FIFO task queue. tasks is a list of [submit_time, duration] given in submission order. A task can only start at or after its submit_time. Whenever a worker is free and the queue head's submit_time has arrived, the head is assigned to the lowest-indexed free worker and runs to completion (non-preemptive). Tasks must be dispatched in FIFO order (a later-submitted task cannot start before an earlier one is dispatched, even if a worker is idle and the later task has arrived). Return a list of [worker_index, start_time, end_time] for each task in the SAME order as the input tasks list.
thread_pool_sim(w: int, tasks: list[list[int]]) → list[list[int]][2,[[0,5],[0,3],[1,2]]]out[[0,0,5],[1,0,3],[1,3,5]]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.