importthreadingimporttime# 全局标志,用于通知线程停止执行stop_flag=False# 定义任务函数deftask():print("Task started")whilenotstop_flag:print("Running...")time.sleep(1)print("Task stopped")# 创建线程对象列表threads=[]# 创建多个线程对象for_inrange(5):t=threading.Thread(target=task)threads.append...
import threadingimport timeclassMyThread(threading.Thread):def__init__(self): super().__init__() self._stop_event = threading.Event()defstop(self): self._stop_event.set()defstopped(self):return self._stop_event.is_set()defrun(self):whilenot self.stopped():# 执行其他代码# ...
12 if __name__ == '__main__': 13 threads = [] 14 for i in range(4): 15 # t = threading.Thread(target=fun, args=(str(i),)) 16 # t.setDaemon(True) 17 t = multiprocessing.Process(target=fun, args=(str(i),)) 18 t.daemon = True 19 t.start() 20 threads.append(t) 2...
sleep(1) stop_threads = True t1.join() print('thread killed') 以上代码中,一旦全局变量stop_threads被置位,run()函数将终止,对应t1线程将因为t1.join()被终止。如果不使用全局变量,可以采用下面方式。 # Python program killing # threads using stop # flag import threading import time def run(stop...
http://www.ruanyifeng.com/blog/2013/04/processes_and_threads.html 使用threading模块实现多线程编程[综述] Python这门解释性语言也有专门的线程模型,Python虚拟机使用GIL(Global Interpreter Lock,全局解释器锁)来互斥线程对共享资源的访问,但暂时无法利用多处理器的优势。
Worker {num} is done') # 创建线程 threads = [] for i in range(5): t = threading....
"""强制结束线程方法:1> 使用stop_thread函数关闭指定的单个线程2> 设置当前函数为守护进程,函数结束后会关闭所有的子线程 --> Set daemon=True"""# -*- coding:utf-8 -*-import threadingimport timeimport inspectimport ctypesdef stop_thread(tid, exctype=SystemExit): tid = ctypes.c_long(tid.ident)...
t.start()fortinthreads: t.join() stop_time=time.time()print('主:%s n:%s'%(stop_time-start_time,n))'''Thread-1 is running Thread-2 is running ... Thread-100 is running 主:0.5216062068939209 n:99'''#不加锁:未加锁部分并发执行,加锁部分串行执行,速度慢,数据安全fromthreadingimportcurren...
=='__main__':# 创建event对象event=threading.Event()# 创建多个线程threads=[][threads.append(My...
importthreadingclassTestThread(threading.Thread):def__init__(self,thread_num=0,timeout=1.0):...