threading.setprofile()
  • References/Python/Python/Concurrent Execution

threading.setprofile(func) Set a profile function for all threads started from the threading module. The func

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multiprocessing.Connection.recv()
  • References/Python/Python/Concurrent Execution

recv() Return an object sent from the other end of the connection using send(). Blocks until there its something

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multiprocessing.Connection.poll()
  • References/Python/Python/Concurrent Execution

poll([timeout]) Return whether there is any data available to be read. If timeout is

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multiprocessing.managers.SyncManager
  • References/Python/Python/Concurrent Execution

class multiprocessing.managers.SyncManager A subclass of BaseManager which can be used for the synchronization

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

multiprocessing.sharedctypes.RawArray(typecode_or_type, size_or_initializer) Return a ctypes array allocated from shared memory

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multiprocessing.log_to_stderr()
  • References/Python/Python/Concurrent Execution

multiprocessing.log_to_stderr() This function performs a call to get_logger() but in addition to returning the

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

stderr Stderr output of the child process if it was captured by run(). Otherwise, None.

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subprocess.call()
  • References/Python/Python/Concurrent Execution

subprocess.call(args, *, stdin=None, stdout=None, stderr=None, shell=False, timeout=None) Run the command described by args

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multiprocessing.get_logger()
  • References/Python/Python/Concurrent Execution

multiprocessing.get_logger() Returns the logger used by multiprocessing. If necessary, a new one will be created

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