我正在從多處理中學習池、管理器等。我想在我的函數中使用 Manager 中的命名空間。我從互聯網上獲取了一些突出顯示 Windows 中多處理管理器問題的代碼。這里是："""How to share data in multiprocessing with Manager.Namespace()"""from multiprocessing import Pool, Managerimport numpy as np# Create manager object in module-level namespacemgr = Manager()# Then create a container of things that you want to share to# processes as Manager.Namespace() object.config = mgr.Namespace()# The Namespace object can take various data typeconfig.a = 1config.b = '2'config.c = [1, 2, 3, 4]def func(i):    """This is a function that we want our processes to call."""    # You can modify the Namespace object from anywhere.    config.z = i    print('config is', config)    # And they will still be shared (i.e. same id).    print('id(config) = {:d}'.format(id(config)))# This main funcdef main():    """The main function contain multiprocess.Pool codes."""    # You can add to the Namespace object too.    config.d = 10    config.a = 5.25e6    pool = Pool(1)    pool.map(func, (range(20, 25)))    pool.close()    pool.join()if __name__ == "__main__":    # Let's print the config    print(config)    # Now executing main()    main()    # Again, you can add or modify the Namesapce object from anywhere.    config.e = np.round(np.random.rand(2,2), 2)    config.f = range(-3, 3)    print(config)錯誤如下：An attempt has been made to start a new process before thecurrent process has finished its bootstrapping phase.This probably means that you are not using fork to start yourchild processes and you have forgotten to use the proper idiomin the main module:    if __name__ == '__main__':        freeze_support()        ...The "freeze_support()" line can be omitted if the programis not going to be frozen to produce an executable.我認為，問題在于管理器突然插入了一個全局變量。您無法在 Windows 上執行此操作。正如你所看到的，我正在防守主力，但這還不夠。需要做的是將管理器以某種方式傳遞給函數（可能傳遞到映射變量中），但我不知道如何做到這一點。