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

running() Return True if the call is currently being executed and cannot be cancelled.

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

subprocess.getstatusoutput(cmd) Return (status, output) of executing cmd in a shell.

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

close() Prevents any more tasks from being submitted to the pool. Once all the tasks have been completed the worker processes

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multiprocessing.connection.deliver_challenge()
  • References/Python/Python/Concurrent Execution

multiprocessing.connection.deliver_challenge(connection, authkey) Send a randomly generated message to the other end of the

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multiprocessing.Connection
  • References/Python/Python/Concurrent Execution

class multiprocessing.Connection send(obj) Send an object to the other end of

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multiprocessing.connection.Listener.accept()
  • References/Python/Python/Concurrent Execution

accept() Accept a connection on the bound socket or named pipe of the listener object and return a Connection object

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

class multiprocessing.managers.BaseManager([address[, authkey]]) Create a BaseManager object. Once

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

recv_bytes([maxlength]) Return a complete message of byte data sent from the other end of the connection as a string. Blocks

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multiprocessing.managers.SyncManager.list()
  • References/Python/Python/Concurrent Execution

list() list(sequence) Create a shared list object and return a proxy for it.

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multiprocessing.Condition
  • References/Python/Python/Concurrent Execution

class multiprocessing.Condition([lock]) A condition variable: an alias for

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