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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _StopAnalysisProcesses(self, abort=False):
 """Stops the analysis processes. Args: abort (bool):
 True to indicated the stop is issued on abort. """

    logger.debug('Stopping analysis processes.')
    self._StopMonitoringProcesses()

    # Note that multiprocessing.Queue is very sensitive regarding
    # blocking on either a get or a put. So we try to prevent using
    # any blocking behavior.

    if abort:
      # Signal all the processes to abort.
      self._AbortTerminate()

    if not self._use_zeromq:
      logger.debug('Emptying queues.')
      for event_queue in self._event_queues.values():
        event_queue.Empty()

    # Wake the processes to make sure that they are not blocking
    # waiting for the queue new items.
    for event_queue in self._event_queues.values():
      event_queue.PushItem(plaso_queue.QueueAbort(), block=False)

    # Try waiting for the processes to exit normally.
    self._AbortJoin(timeout=self._PROCESS_JOIN_TIMEOUT)
    for event_queue in self._event_queues.values():
      event_queue.Close(abort=abort)

    if abort:
      # Kill any remaining processes.
      self._AbortKill()
    else:
      # Check if the processes are still alive and terminate them if necessary.
      self._AbortTerminate()
      self._AbortJoin(timeout=self._PROCESS_JOIN_TIMEOUT)

      for event_queue in self._event_queues.values():
        event_queue.Close(abort=True)