参考博客: www.cnblogs.com/yuanchenqi/articles/5733873.html
semaphore 信号量:
condition 条件变量:
event 同步条件:条件同步和条件变量同步差不多意思,只是少了锁功能。因为条件同步设计于别访问共享资源的条件环境
多线程利器(queue):队列本身有一把锁
q.put(‘xiaoming’, 0)
q.get(0)
q.qsize() 返回队列大小
q.empty()
q.full()
semaphore:
# _author: lily # _date: 2019/1/29 import threading , time class MyThread(threading.Thread): def run(self): if semaphore.acquire(): print(self.name) time.sleep(3) semaphore.release() if __name__ == '__main__': semaphore = threading.BoundedSemaphore(5) thread_list = [] for i in range(100): thread_list.append(MyThread()) for i in thread_list: i.start()
condition:
# _author: lily # _date: 2019/1/29 import threading,time from random import randint class Producer(threading.Thread): def run(self): global L while True: val = randint(0, 100) print('Producer', self.name, ': Append', str(val), L) if lock_con.acquire(): L.append(val) lock_con.notify() lock_con.release() time.sleep(3) class Consumer(threading.Thread): def run(self): global L while True: lock_con.acquire() if len(L) == 0: lock_con.wait() print('Consumer', self.name, ': Delete', str(L[0]), L) del L[0] lock_con.release() time.sleep(0.25) if __name__ == '__main__': L = [] lock_con = threading.Condition() threads = [] for i in range(5): threads.append(Producer()) threads.append(Consumer()) for t in threads: t.start() for t in threads: t.join()
queue:
# _author: lily # _date: 2019/1/30 import queue # q = queue.Queue() q = queue.Queue(3) # 设置队列大小 q.put('xiaoming', 0) q.put('xiaohong') q.put('xiaofang', 0) # 队列大小为 2 ,当要放置第三个数据的时候,1会被阻塞,0会报错。默认参数为1 print(q.get()) print(q.get()) print(q.get()) print(q.get(0)) # 参数为 0 的时候如果队列空了,还去取值,就会报错。参数为 1 会被阻塞