Login Register

multiprocessing.pool.AsyncResult.get()

get([timeout])

Return the result when it arrives. If timeout is not None and the result does not arrive within timeout seconds then multiprocessing.TimeoutError is raised. If the remote call raised an exception then that exception will be reraised by get().

Links:

https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.pool.AsyncResult.get

doc_python

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

multiprocessing.pool.AsyncResult class multiprocessing.pool.AsyncResult The class of the result returned by Pool.apply_async() and Pool.map_async(). get([timeout]) Return the r

multiprocessing.pool.AsyncResult.successful() successful() Return whether the call completed without raising an exception. Will raise AssertionError if the result is not ready.

multiprocessing.pool.AsyncResult.ready() ready() Return whether the call has completed.

multiprocessing.pool.AsyncResult.wait() wait([timeout]) Wait until the result is available or until timeout seconds pass.

multiprocessing.pool.Pool class multiprocessing.pool.Pool([processes[, initializer[, initargs[, maxtasksperchild[, context]]]]]) A process pool object which controls a pool