PYTHON Multi-threaded semaphore

#!/usr/bin/env python# -*- coding: utf-8 -*-import threadingimport  Timeimport randomdef work_func ():    print  "Worker thread is  started at %s "% threading.current_thread ()     random.seed ()      time.sleep (Random.random ())     print  "Worker thread is  finished at %s "%threading.current_thread () Def sinple_thread_demo ():     for i in range (+):         t=threading. Thread (Target=work_func)         t.start () Def worker_func_lock ( Lock):     lock.acquire ()     work_func ()      Lock.release () glock=threading. Lock () Gsem=threading._semaphore () #信号量, number of threads allowed to run concurrently Def thread_demo_lock ():     for  i in range (:         #sl =threading. Thread (Target=worker_func_lock,args=[glock])         sl=threading. Thread (Target=worker_func_lock,args=[gsem]) #参数传入信号量         sl.start () if __name__== "__main__":     #sinple_thread_demo () #通过锁实现串行      Thread_demo_lock () #实现同时运行多个线程工作, mainly through the semaphore settings, but still executed on a CPU, the specific implementation of the example can be implemented in the function, to achieve single-core multi-concurrency

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PYTHON Multi-threaded semaphore