Description
It's easy to cause unwanted busy-waiting in tasks, either by mistake (e.g. left out a sleep()
call within a periodic loop) or by poor design (e.g. relying too heavily on polling rather than events). The simplest valid Trio program which will use all headroom on the CPU is while True: trio.sleep(0)
.
This is potentially far more common than the "task never awaits" scenario being addressed in #596.
I'd like to find a heuristic that can detect such problematic code while avoiding false positives.
some metrics which could be employed: median task block time vs. task CPU time over last T seconds, task schedule rate, ranking task schedule rate, cumulative task CPU time over the last T seconds, cumulative CPU time of Trio scheduler over the last T seconds