Multi-line Cheng of Python multithreaded programming

The Python language itself supports multithreading , unlike the PHP language.

The following example is a number of threads doing the same task , the task is always task_num, each time the thread does a task (print), and then continue to take the task until all tasks are completed.

1 #Coding:utf-82 ImportThreading3 4Start_task =05Task_num = 100006Mu = threading. Lock ()## #通过工厂方法获取一个新的锁对象7 8 classMyThread (Threading. Thread):## #类MyThread继承基类threading. Thread9 Ten     defRun (self):##线程启动的入口函数, subclasses need to be rewritten One         GlobalStart_task A         Globalmu -         GlobalStart_task -  the          whileStart_task < task_num:##如果任务没有完成, Continue -             ifMu.acquire ():##加锁 -                 ifStart_task <Task_num: -                     PrintStart_task +Start_task = Start_task + 1 -Mu.release ()##释放锁 +  A defTest (): atThread_all = [] -      forIinchRange (6):##for循环创建6个线程 -t = MyThread ()##创建线程 - thread_all.append (t) -T.start ()## #启动线程 -  in      forIinchRange (6): -Thread_all[i].join ()##等待线程结束 to  + if __name__=="__main__": -Test ()

test locking with no lock effect : Set the number of tasks to 10 million or higher, and save the print output separately on multicore machines to illustrate the problem.

Multi-line Cheng of Python multithreaded programming