subprocess.TimeoutExpired.timeout
  • References/Python/Python/Concurrent Execution

timeout Timeout in seconds.

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

_thread.start_new_thread(function, args[, kwargs]) Start a new thread and return its identifier. The thread executes the function

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multiprocessing.sharedctypes.copy()
  • References/Python/Python/Concurrent Execution

multiprocessing.sharedctypes.copy(obj) Return a ctypes object allocated from shared memory which is a copy of the ctypes object

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

start([initializer[, initargs]]) Start a subprocess to start the manager. If initializer is not None then

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

_thread.allocate_lock() Return a new lock object. Methods of locks are described below. The lock is initially unlocked.

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concurrent.futures.Future.add_done_callback()
  • References/Python/Python/Concurrent Execution

add_done_callback(fn) Attaches the callable fn to the future. fn will be called, with the future as its only

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threading.Thread.join()
  • References/Python/Python/Concurrent Execution

join(timeout=None) Wait until the thread terminates. This blocks the calling thread until the thread whose join()

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

map_async(func, iterable[, chunksize[, callback[, error_callback]]]) A variant of the map() method which returns

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

shutdown() Stop the process used by the manager. This is only available if start() has been used to start the server

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

class concurrent.futures.Executor An abstract class that provides methods to execute calls asynchronously. It should not be

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