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
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(...
#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) ...
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(Thread Lock)是一种同步机制,用于控制多个线程对共享资源的访问,以保证线程安全。在Python中,由于GIL(Global Interpreter Lock)的存在,同一时刻只有一个线程能够执行Python字节码,但这并不意味着多线程无法引起数据竞争问题。当多个线程需要修改同一个数据时,如果没有适当的同步机制,就可能导致数据的不一致或损坏...
python lock是一个同步原语,状态是锁定或未锁定。两个方法acquire()和release() 用于加锁和释放锁 #!/usr/bin/env python3 # -*-coding:utf-8-*- from threading import current_thread, Thread, Lock from time import sleep lock = Lock() # 继承Thread class MyThread(Thread): def __init__(self)...
lock=threading.Lock()window1=WindowThread('window1',lock)window2=WindowThread('window2',lock)window3=WindowThread('window3',lock) 3 个线程共用 1 个 Lock 对象。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 self.lock.acquire()iftickt_count>0:iftickt_count>2:number=random.randint(1...
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...
lock1 = thread.allocate_lock() def get_1(): print(lock.locked()) print(lock1.locked()) lock.acquire() print(lock.locked()) print(lock1.locked()) lock.release() print(lock.locked()) print(lock1.locked()) get_1() #加个函数,运行效果一样...
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...