多进程编程中，如何保证共享变量的原子操作？

from concurrent.futures import ProcessPoolExecutorimport ctypesfrom multiprocessing import Manager, Lockimport os# 创建 Manager 和 Lock 对象manager = Manager()m = manager.Value(ctypes.c_int, 0)lock = manager.Lock()def calc_number(x: int, y: int, _m: ValueProxy, total_tasks: int, _lock):    # 模拟耗时计算    res = x**y    # 使用锁保证原子性操作    with _lock:        _m.value += 1        current_value = _m.value    # 通知最终结果    if current_value == total_tasks:        print(True)    print(f"m_value: {current_value}, p_id: {os.getpid()}, res: {res}")def main():    # 任务参数    t1 = (100, 200, 300, 400, 500, 600, 700, 800)    t2 = (80, 70, 60, 50, 40, 30, 20, 10)    len_t = len(t1)    # 多进程执行任务    with ProcessPoolExecutor(max_workers=len_t) as executor:        for x, y in zip(t1, t2):            executor.submit(calc_number, x, y, m, len_t, lock)if __name__ == '__main__':    main()