fromtqdmimporttqdmpbar=tqdm(total=len(data))pbar.set_description('Sleep')update=lambda*args:pbar.update()n_proc=5pool=mp.Pool(n_proc)fordindata:pool.apply_async(test_func,(d,),callback=update)pool.close()pool.join() 这里我们采用tqdm生成进度条,然后使用labmda操作符,将其转换为函数,然后...
for i in range(5): p.apply_async(long_time_task, args=(i,)) print 'Waiting for all subprocesses done...' p.close() p.join() print 'All subprocesses done.' 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 先载入multiprocessing 模块Pool, ...
""" 服务端多进程 """ from socket import * from multiprocessing import Process server=socket(AF_INET,SOCK_STREAM) server.setsockopt(SOL_SOCKET,SO_REUSEADDR,1) server.bind(('127.0.0.1',8080)) server.listen(5) def talk(conn,client_addr): while True: try: msg=conn.recv(1024) if not msg...
pool.apply_async(self.execute_tasks, (index, d_arr, p_lock)) pool.close() pool.join() pool.terminate() if __name__ == '__main__': # apscheduler的BlockingScheduler和BackgroundScheduler导致多进程异常退出 # 要想正常直接去掉self.scheduler = BlockingScheduler() TodayCollection().start() 分...
frommultiprocessingimportPooldeff(x):returnxif__name__=='__main__':pool=multiprocessing.Pool(processes=5)params=['param1','param2','param3','param4','param5']forparaminparams:pool.apply_async(f,args=(param,))pool.close() Python ...
sleep(0.01) num = 1000 pbar = tqdm(total=num) update = lambda *args: pbar.update() if __name__ == '__main__': pool = ThreadPool(4) # pool = Pool(4) for i in range(num): pool.apply_async(fun, callback=update) pool.close() pool.join() 在导航栏备注中还有其他3个进度条...
python 并发 维持tqdm进度条 已注销 9511 发布于 2020-09-07 pool = multiprocessing.Pool(multiprocessing.cpu_count()) items = [...] for item in items: pool.apply_async(func, args=item) pool.join() pool必须阻塞主线程, 我希望每个func运行完成后可以tqdm.update(1), 如何实现? 谢谢 python...
()*3)end=time.time()print'Task %s runs %0.2f seconds.'%(name,(end-start))if__name__=='__main__':print'Parent process %s.'%os.getpid()p=Pool()foriinrange(5):p.apply_async(long_time_task,args=(i,))print'Waiting for all subprocesses done...'p.close()p.join()print'All ...
pass'''pbar= tqdm(total=100)defupdate(*a): pbar.update()#tqdm.write(str(a))foriinrange(pbar.total): pool.apply_async(myfunc, args=(i,), callback=update)#tqdm.write('scheduled')pool.close() pool.join()
'''#coding:UTF-8importmultiprocessingimporttimefromtqdmimporttqdmclassMyMultiprocess(object):def__init__(self,process_num):self.pool=multiprocessing.Pool(processes=process_num)defwork(self,func,args):result=[]forarginargs:result.append(self.pool.apply_async(func,(arg,)))self.pool.close()self.poo...