concurrent.futures.ThreadPoolExecutor
  • References/Python/Python/Concurrent Execution

class concurrent.futures.ThreadPoolExecutor(max_workers=None) An Executor subclass that uses a pool of at most

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queue.Full
  • References/Python/Python/Concurrent Execution

exception queue.Full Exception raised when non-blocking put() (or put_nowait()) is called on a Queue

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threading.RLock
  • References/Python/Python/Concurrent Execution

class threading.RLock This class implements reentrant lock objects. A reentrant lock must be released by the thread that acquired

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multiprocessing.RLock.acquire()
  • References/Python/Python/Concurrent Execution

acquire(block=True, timeout=None) Acquire a lock, blocking or non-blocking. When invoked with

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multiprocessing.managers.BaseManager.connect()
  • References/Python/Python/Concurrent Execution

connect() Connect a local manager object to a remote manager process:

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_thread.lock.release()
  • References/Python/Python/Concurrent Execution

lock.release() Releases the lock. The lock must have been acquired earlier, but not necessarily by the same thread.

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_thread.exit()
  • References/Python/Python/Concurrent Execution

_thread.exit() Raise the

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_dummy_thread
  • References/Python/Python/Concurrent Execution

Source code: Lib/_dummy_thread

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threading.Barrier.wait()
  • References/Python/Python/Concurrent Execution

wait(timeout=None) Pass the barrier. When all the threads party to the barrier have called this function, they are all released

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multiprocessing.pool.Pool.imap()
  • References/Python/Python/Concurrent Execution

imap(func, iterable[, chunksize]) A lazier version of

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