问题描述
一位家长启动了两个进程A，B，它们具有应并行运行的python多处理程序.
One parent launch two process A, B with python multiprocessing that should run in parallel.
与Multiprocessing.Manager共享两个列表list_1list_2
Share two lists with Multiprocessing.Managerlist_1list_2
对list_1的写操作作为参数传递给A，在A list_1内成为list_W.来自list_2的读取(作为参数传递给A，在list_2内)成为list_RB写入list_2并将其作为参数传递给B，B内部的list_2变为list_W.B从作为参数传递给B的list_1读取，B内的list_1成为list_R
A write to list_1 that is passed as parameter to A, inside A list_1 became list_W.A read from a list_2 that is passed as parameter to A, inside A list_2 became list_RB write to list_2 that is passed as parameter to B, inside B list_2 became list_W.B read from a list_1 that is passed as parameter to B, inside B list_1 became list_R
如果我不是将A或B称为multiprocessing.process，而是将其作为单个函数调用，它们就会运行，从而产生问题.
if I call A or B not as multiprocessing.process but as single function, they run, whitout problems.
如果我将它们称为multiprocessing.process，则会发生这种情况:
if I call them as multiprocessing.process this is what happen:
Traceback (most recent call last):
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "myprg/A.py", line 47, in A
watch()
File "myprg/DEFINITIONS.py", line 87, in watch
if list_W[0] != list_R[0]:
File "<string>", line 2, in __getitem__
File "/usr/lib/python2.7/multiprocessing/managers.py", line 759, in _callmethod
kind, result = conn.recv()
IOError: [Errno 104] Connection reset by peer
watch()比较两个列表的值，但是对于每个程序来说，一个值处于读取状态，一个值处于写入状态，所以我不明白这是什么问题.
The watch() compare the two lists values, but as one is in read and one in write for each program, I can't understand what it is the problem.
推荐答案
如果我添加
A.join()
B.join()
错误消失，程序运行.为什么会这样?
the error disappear and the program run. Why this behavior?
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