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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 start_parallel(self):
 """Initialize all queues and start the worker processes and the log thread. """

        self.num_processes = get_num_processes()

        self.task_queue = multiprocessing.Queue(maxsize=Q_MAX_SIZE)
        self.result_queue = multiprocessing.Queue()
        self.log_queue = multiprocessing.Queue()

        # Used to signal worker processes when a result is found that allows
        # the computation to terminate early.
        self.complete = multiprocessing.Event()

        args = (self.compute, self.task_queue, self.result_queue,
                self.log_queue, self.complete) + self.context
        self.processes = [
            multiprocessing.Process(target=self.worker, args=args, daemon=True)
            for i in range(self.num_processes)]

        for process in self.processes:
            process.start()

        self.log_thread = LogThread(self.log_queue)
        self.log_thread.start()

        self.initialize_tasks()