The following code hangs:
---
import multiprocessing, time
pool = multiprocessing.Pool(1)
result = pool.apply_async(time.sleep, (1.0,))
pool.terminate()
result.get()
---

pool.terminate() terminates workers before time.sleep(1.0) completes, but the pool doesn't mark result as completed with an error.

Would it be possible to mark all pending tasks as failed? For example, "raise" a RuntimeError("pool terminated before task completed").