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

apply_async(func[, args[, kwds[, callback[, error_callback]]]]) A variant of the apply() method which returns a

2025-01-10 15:47:30
subprocess.Popen.stdout
  • References/Python/Python/Concurrent Execution

Popen.stdout If the stdout argument was PIPE, this attribute is a readable stream object as returned by

2025-01-10 15:47:30
multiprocessing.pool.Pool.terminate()
  • References/Python/Python/Concurrent Execution

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

2025-01-10 15:47:30
concurrent.futures.Executor.shutdown()
  • References/Python/Python/Concurrent Execution

shutdown(wait=True) Signal the executor that it should free any resources that it is using when the currently pending futures

2025-01-10 15:47:30
subprocess.TimeoutExpired.output
  • References/Python/Python/Concurrent Execution

output Output of the child process if it was captured by run() or check_output(). Otherwise, None

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

stdout Alias for output, for symmetry with stderr.

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

_thread.stack_size([size]) Return the thread stack size used when creating new threads. The optional size argument

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

register(typeid[, callable[, proxytype[, exposed[, method_to_typeid[, create_method]]]]]) A classmethod which can be used for

2025-01-10 15:47:30
concurrent.futures.Future.set_result()
  • References/Python/Python/Concurrent Execution

set_result(result) Sets the result of the work associated with the Future to result.

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threading.Condition.notify()
  • References/Python/Python/Concurrent Execution

notify(n=1) By default, wake up one thread waiting on this condition, if any. If the calling thread has not acquired the lock

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