python3 多进程代码,抛出 RuntimeError:省略.. The "freeze_support()" line can be omitted if the program ... 1. 如下的代码,在 linux系统上运行么有任何问题,但是换到windows系统中,就报错了 importosfrommultiprocessingimportProcessimportmultiprocessingasmpdeftest():print('---test--子进程id为%s--'%...
child processesandyou have forgotten to use the proper idiominthe main module:if__name__=='__main__': freeze_support() ... The"freeze_support()"line can be omittedifthe programisnotgoing to be frozen to produce an executable. 原因:多进程需要在main函数中运行, 解决方法1: 加main函数,在...
current_process(),返回当前进程对象。 freeze_support(),Add support for when a program which uses multiprocessing has been frozen to produce a Windows executable. get_all_start_methods(),返回所有支持的start方法,包括spawn, fork和forkserver。 get_context(method=None),返回一个context对象,用起来和multi...
if __name__ == '__main__': freeze_support() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25...
windows下,如果开启的进程比较多的话,程序会崩溃,为了防止这个问题,使用freeze_support()方法来解决. 哈哈,本来看到这段代码的时候,我以为程序会因为队列满了,导致堵塞. 没想到竟然正常执行完了. 看下程序没有堵塞的原因(生产者消费者模型): 生产者(put)消费者(get)模式是通过一个容器来解决生产者和消费者的强...
importxyzfrommultiprocessingimportfreeze_supportdefabc():returnxdefmain(): xyz qwertyif__name__ =="__main__": freeze_support() obj = Object() main() classObject.py importabcdclassObject(object):def__init__(self): asdf cvbnwithconcurrent.futures.ProcessPoolExecutor(max_workers=2)asexecutor...
freeze_support() # for Windows support p = Pool(len(L), # again, for Windows support initializer=tqdm.set_lock, initargs=(RLock(),)) p.map(progresser, L) print("\n" * (len(L) - 2)) 1. 2. 3. 4. 5. 6. 7. 8.
from multiprocessing import Process, current_process, cpu_count, freeze_support, set_start_method, Manager, Value, Array, Lock, Semaphore, Event, Barrier, Queue, Thread, currentThread, active_children, Pool, TimeoutError, SimpleQueue, Pipe, Array, Lock, Semaphore, Event, Barrier, Queue, Thread...
multiprocessing.freeze_support() #就是这句 app.run() 再次调用API,发现虽然有反应,但是一次API请求要几十秒才有返回...感觉这个姿势不太对。于是小埋酱又换了一个姿势 加了一大段的代码,具体看setup-cython项目中的main.py https://github.com/himoutoumaru/setup-cython/blob/master/bin/main.pygithub...
(list_fenurl) #统计下载数if __name__ == '__main__': freeze_support() #windows下进程调用时必须添加 pool=Pool() #创建进程池 start=time.time() count=pool.map(main,[i for i in range(1,185)]) #多进程运行翻页主页 print(sum(count),count) #获取总的下载数 end=time.time() data=...