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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 RunOnce(self):
 """Processes one set of messages from Task Scheduler. The worker processes new jobs from the task master. For each job we retrieve the session from the Task Scheduler. Returns: Total number of messages processed by this call. """

    start_time = time.time()
    processed = 0

    queue_manager = queue_manager_lib.QueueManager(token=self.token)
    for queue in self.queues:
      # Freezeing the timestamp used by queue manager to query/delete
      # notifications to avoid possible race conditions.
      queue_manager.FreezeTimestamp()

      fetch_messages_start = time.time()
      notifications = queue_manager.GetNotifications(queue)
      stats_collector_instance.Get().RecordEvent(
          "worker_time_to_retrieve_notifications",
          time.time() - fetch_messages_start)

      stuck_flows = []
      for n in notifications:
        if n.in_progress:
          stuck_flows.append(n)

      # Process stuck flows first
      if stuck_flows:
        self.ProcessStuckFlows(stuck_flows, queue_manager)

      notifications_available = []
      for notification in notifications:
        # Filter out session ids we already tried to lock but failed.
        if notification.session_id not in self.queued_flows:
          notifications_available.append(notification)

      try:
        # If we spent too much time processing what we have so far, the
        # active_sessions list might not be current. We therefore break here
        # so we can re-fetch a more up to date version of the list, and try
        # again later. The risk with running with an old active_sessions list
        # is that another worker could have already processed this message,
        # and when we try to process it, there is nothing to do - costing us a
        # lot of processing time. This is a tradeoff between checking the data
        # store for current information and processing out of date
        # information.
        processed += self.ProcessMessages(
            notifications_available, queue_manager,
            self.RUN_ONCE_MAX_SECONDS - (time.time() - start_time))

      # We need to keep going no matter what.
      except Exception as e:  # pylint: disable=broad-except
        logging.error("Error processing message %s. %s.", e,
                      traceback.format_exc())
        stats_collector_instance.Get().IncrementCounter("grr_worker_exceptions")
        if flags.FLAGS.pdb_post_mortem:
          pdb.post_mortem()

      queue_manager.UnfreezeTimestamp()
      # If we have spent too much time, stop.
      if (time.time() - start_time) > self.RUN_ONCE_MAX_SECONDS:
        return processed
    return processed