multiprocessing.Process.terminate()
  • References/Python/Python/Concurrent Execution

terminate() Terminate the process. On Unix this is done using the SIGTERM signal; on Windows TerminateProcess()

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sched.scheduler.queue
  • References/Python/Python/Concurrent Execution

scheduler.queue Read-only attribute returning a list of upcoming events in the order they will be run. Each event is shown as

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multiprocessing.pool.Pool
  • References/Python/Python/Concurrent Execution

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

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multiprocessing.Queue.full()
  • References/Python/Python/Concurrent Execution

full() Return True if the queue is full, False otherwise. Because of multithreading/multiprocessing

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The concurrent package
  • References/Python/Python/Concurrent Execution

Currently, there is only one module in this package:

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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

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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.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

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

class threading.BoundedSemaphore(value=1) Class implementing bounded semaphore objects. A bounded semaphore checks to make sure

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

multiprocessing.sharedctypes.Value(typecode_or_type, *args, lock=True) The same as RawValue() except that depending

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