for (int i = 0; i < N; ++i) // create and start threads new Thread(new Worker(startSignal, doneSignal)).start(); doSomethingElse(); // don't let run yet startSignal.countDown(); // let all threads proceed doSom
i am workingleader:wait for finish! work finished! fuck!There are still 3 tasks to do thread139958685849344 Thread-1: waiting for tast 1 task recv:produce one apple! ,task No:3 i am working work finished! fuck!There are still 2 tasks to do thread139958685849344 Thread-1: waiting for tas...
super(MyThread, self).__init__() self.name = name self.func = func self.args = args def getResult(self): return self.res def run(self): # 创建新线程的时候,Thread 对象会调用我们的 ThreadFunc 对象,这时会用到一个特殊函数 __call__()。 self.res = self.func(*self.args) def downlo...
import concurrent.futures pool = concurrent.futures.ThreadPoolExecutor(8) def _exec(x): return x + x myfuturelist = pool.map(_exec,[x for x in range(5)]) # How do I wait for my futures to finish? for result in myfuturelist: # Is this how it's done? print(result) #... stu...
start() # wait for threads to finish for thread in threads: thread.join() 主程序里的调用在 app.py 这个文件,需要注意的是必须在主程序中setup 这个 log。否则 logger.py 中的get_logger 函数找不到对象。 import logger from modules.module import multi_task log = logger.setup_logger(file_name=...
# wait for all threads to finish foriinnloops: threads[i].join() print"***end***", ctime() if__name__=="__main__": main() #Method 2: 创建一个Thread的实例,传给它一个可调用的类对象importthreadingfromtimeimportsleep, ctime loops= [4,...
i in range(5):_thread.start_new_thread(run,()) #发起五个线程去执行 时间大大缩短for i...
tb= threading.Thread(target=testb)fortin[ta,tb]: t.start()fortin[ta,tb]: t.join()print"DONE"#输出是ab或者ba(紧贴着的)然后空一行再来DONE的结果。 得到这样的结果是因为这样的,在start之后,ta首先开始跑,但是主线程(脚本本身)没有等其完成就继续开始下一轮循环,然后tb也开始了,在之后的一段时间里...
代码语言:python 代码运行次数:1 运行 AI代码解释 # create an executorwithThreadPoolExecutor()asexe:# execute a function in event loop using executorloop.run_in_executor(exe,task) 以上就是 Python 中asyncio库的基本使用方法,希望对你有所帮助。
worker.start()# Put the tasks into the queueasa tupleforlinkinlinks:logger.info('Queueing {}'.format(link))queue.put((download_dir,link))# Causes the main thread to waitforthe queue to finish processing all the tasks queue.join()logging.info('Took %s',time()-ts)if__name__=='__main...