thread LoopThread >>>1thread LoopThread >>>2thread LoopThread >>>3thread LoopThread >>>4thread LoopThread >>>5thread LoopThread ended. thread MainThread ended. 由于任何进程默认就会启动一个线程,我们把该线程称为主线程,主线程又可以启动新的线程,Python的threading模块有个current_thread()函数,它永远返回...
import threading def worker(lock, num): # 使用 with 语句自动获取和释放锁 with lock: print(f"Worker {num} is working...") def main(): lock = threading.Lock() threads = [] # 创建 5 个线程 for i in range(5): t = threading.Thread(target=worker, args=(lock, i)) threads.append(...
print("I'm thread {}, I acquired the lock.".format(threading.current_thread().name)) try: number += 1 finally: lock.release() print("I'm thread {}, I realised the lock.".format(threading.current_thread().name)) def minus_one(): global number for i in range(20): lock.acquire...
#线程锁,单锁实例 import time,threading def run(n): lock.acquire() #加锁 global num num+=1 lock.release() #释放锁 lock=threading.Lock()#获得线程锁 num=0 threads=[] for i in range(50): thread=threading.Thread(target=run,args=("t-%s"%i,)) thread.start() threads.append(thread) ...
subThread02.start() subThread01.join() subThread02.join() print("num result : %s" % num) with语句 由于threading.Lock()对象中实现了enter__()与__exit()方法,故我们可以使用with语句进行上下文管理形式的加锁解锁操作: import threadingnum = 0def add(): with lock: # 自动加锁 global num for...
1 if __name__== '__main__': 2 lock=threading.Lock() 3 A=0 4 t1=threading.Thread(target=job1) 5 t2=threading.Thread(target=job2) 6 t1.start() 7 t2.start() 8 t1.join() 9 t2.join() 10 完整的代码1 import threading 2 3 def job1(): 4 global A,lock 5 lock....
lock.release() if __name__ == "__main__": lock = threading.Lock() subThread01 = threading.Thread(target=add) subThread02 = threading.Thread(target=sub) subThread01.start() subThread02.start() subThread01.join() subThread02.join() ...
lock.acquire()# 上锁lock.acquire()# 死锁# 不执行globalnumforiinrange(10_000_000): num -=1lock.release() lock.release()if__name__ =="__main__": lock = threading.Lock() subThread01 = threading.Thread(target=add) subThread02 = threading.Thread(target=sub) ...
with condLock: condLock.notify(notifyNumber) # 放行 print("main thread run end") 4、Event() 事件锁 基本介绍 事件锁是基于条件锁来做的,它与条件锁的区别在于一次只能放行全部,不能放行任意个数量的子线程继续运行。 我们可以将事件锁看为红绿灯,当红灯时所有子线程都暂停运行,并进入“等待”状态,当绿灯...
release() def sub(): lock.acquire() # 上锁 lock.acquire() # 死锁 # 不执行 global num for i in range(10_000_000): num -= 1 lock.release() lock.release() if __name__ == "__main__": lock = threading.Lock() subThread01 = threading.Thread(target=add) subThread02 = ...