Login Register

multiprocessing.pool.Pool.close()

close()

Prevents any more tasks from being submitted to the pool. Once all the tasks have been completed the worker processes will exit.

Links:

https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.pool.Pool.close

doc_python

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

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

multiprocessing.pool.Pool.join() join() Wait for the worker processes to exit. One must call close() or terminate() before using join().

multiprocessing.pool.Pool.imap() imap(func, iterable[, chunksize]) A lazier version of map(). The chunksize argument is the same as the one used by the map() method. For very long

multiprocessing.pool.Pool.map_async() map_async(func, iterable[, chunksize[, callback[, error_callback]]]) A variant of the map() method which returns a result object. If callback is s

multiprocessing.pool.Pool.terminate() terminate() Stops the worker processes immediately without completing outstanding work. When the pool object is garbage collected terminate() will