counter-= 1threadLock=threading.Lock() threads=[]#创建新线程thread1 = myThread(1,"Thread-1", 1) thread2= myThread(2,"Thread-2", 2)#开启新线程thread1.start() thread2.start()#添加线程到线程列表threads.append(thread1) threads.append(thread2)#等待所有线程完成fortinthreads: t.join()print...
# 创建多个线程 threads = [] for i in range(3): thread = threading.Thread(target=worker, args=(f"Thread-{i+1}",)) threads.append(thread) thread.start() # 等待所有线程完成 for thread in threads: thread.join() print("所有线程都完成了工作") 在这个例子中,我们创建了三个线程,每个线程执...
importthreadingdeffunction(i):print("function called by thread %i\n"%i)return#threads = []foriinrange(5):t=threading.Thread(target=function,args=(i,))## 用 function 函数初始化一个 Thread 对象 t,并将参数 i 传入;#threads.append(t)t.start()## 线程被创建后不会马上执行,需要手动调用 .st...
threads = [] # 创建新线程 thread1 = myThread(1, "Thread-1", 1) thread2 = myThread(2, "Thread-2", 2) # 开启新线程 thread1.start() thread2.start() # 添加线程到线程列表 threads.append(thread1) threads.append(thread2) # 等待所有线程完成 for t in threads: t.join() print ("退...
threads.append(t) t.start() for t in threads: t.join() # 等待所有线程完成 print("所有任务完成") 2. 多进程(multiprocessing模块) 适用场景:CPU密集型任务(如数值计算、图像处理等)。 特点:每个进程有独立的内存空间,可以绕过GIL限制,实现真正的并行。
import threadingdefworker(num):"""线程执行的任务函数，接收一个参数""" print("Worker: %d" % num)threads = []for i in range(5): t = threading.Thread(target=worker, args=(i,)) threads.append(t) t.start()for t in threads: t.join()这段代码创建了 5 个线程，并向每...
() def start_threads(self, num_threads=5): threads = [] for _ in range(num_threads): thread = threading.Thread(target=self.worker) thread.start() threads.append(thread) for url in self.urls: self.queue.put(url) self.queue.join() for _ in range(num_threads): self.queue.put(None...
append(thread1) threads.append(thread2) # 等待所有线程完成 for t in threads: t.join() print "Exiting Main Thread"线程优先级队列( Queue) Python的Queue模块中提供了同步的、线程安全的队列类,包括FIFO(先入先出)队列Queue,LIFO(后入先出)队列LifoQueue,和优先级队列PriorityQueue。这些队列都实现了锁...
threads.append(t) t.start() for t in threads: t.join() print(counter) 上面的代码中,我们定义了一个全局变量counter和一个Lock对象lock。increment()函数用于在循环中对counter进行100000次加1操作,而在每次加1之前,我们首先获取lock,加1操作完成之后再释放lock。这样保证了多个线程同时对counter进行操作时,不...
threads.append(t)forthrinthreads:#把列表中的实例遍历出来后,调用start()方法以线程启动运行 thr.start()forthrinthreads:"""isAlive()方法可以返回True或False,用来判断是否还有没有运行结束 的线程。如果有的话就让主线程等待线程结束之后最后再结束。"""ifthr.isAlive():thr.join() ...