python中进程的锁和线程的锁用法一样

1. Lock锁（只能锁一个，放一个）

import multiprocessing
import time

lock = multiprocessing.Lock()
def task(args):
    p = multiprocessing.current_process()
    lock.acquire()
    time.sleep(2)
    print(p.name)
    print(args)
    lock.release()

def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()

if __name__ == '__main__':
    run()

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2.RLock锁（可以上多把锁，也是锁一个放一个)

lock = multiprocessing.RLock()
def task(args):
    p = multiprocessing.current_process()
    lock.acquire()
    lock.acquire()
    time.sleep(2)
    print(p.name)
    print(args)
    lock.release()
    lock.release()

def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()

if __name__ == '__main__':
    run()

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3. seamphore锁（可以控制进入临界区的进程数量）

lock = multiprocessing.BoundedSemaphore(3)
def task(args):
    p = multiprocessing.current_process()
    lock.acquire()
    time.sleep(2)
    print(p.name)
    print(args)
    lock.release()

def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()

if __name__ == '__main__':
    run()

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4. Condition锁（可以控制任意一次放出的进程的数量）

lock = multiprocessing.Condition()
def task(args):
    p = multiprocessing.current_process()
    lock.acquire()
    lock.wait()
    time.sleep(2)
    print(p.name)
    print(args)
    lock.release()

def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()

if __name__ == '__main__':
    run()
    while True:
        num = int(input("请输入要释放的进程数量:"))
        lock.acquire()
        lock.notify(num)
        lock.release()

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5. Event锁

lock = multiprocessing.Event()
def task(args):
    p = multiprocessing.current_process()
    lock.wait()
    time.sleep(2)
    print(p.name)
    print(args)

def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()
    lock.set()  #使锁失效
    print("锁失效的结果")
def run2():
    lock.clear()#使锁再次生效
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        p.start()
    print("锁生效的结果")

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