多进程编程中，如何保证共享变量的原子操作？

from concurrent.futures import ProcessPoolExecutor
import ctypes
from multiprocessing import Manager, Lock
import 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()