源代码内容如下：（来自廖雪峰官方网站-python教程-进程和线程-分布式进程）
# test_07.py
import random, queue
from multiprocessing.managers import BaseManager
# 发送任务的队列：
task_queue = queue.Queue()
# 接收结果的队列
result_queue = queue.Queue()
# 从BaseManager继承的QueueManager：
class QueueManager(BaseManager):
pass
# 把两个Queue都注册到网络上，callable参数关联了Queue对象
QueueManager.register('get_task_queue', callable=lambda: task_queue)
QueueManager.register('get_result_queue', callable=lambda: result_queue)
# 绑定端口5000，设置验证码‘abc’
manager = QueueManager(address=('', 5000), authkey=b'abc')
# 启动Queue：
manager.start()
# 获得通过网络访问的Queue对象
task = manager.get_task_queue()
result = manager.get_result_queue()
# 放几个任务进去：
for i in range(10):
n = random.randint(0, 10000)
print('Put task %d...' % n)
task.put(n)
# 从result队列读取结果：
print('Try get result...')
for i in range(10):
r = result.get(timeout=10)
print('Result: %s' % r)
# 关闭
manager.shutdown()
print('master exit.')
报错（一）：
执行报错“_pickle.PicklingError: Can’t pickle
"D:Program Filespython-3.7.9python.exe" D:/py/test-three/test_07.py Traceback (most recent call last): File "D:/py/test-three/test_07.py", line 22, inmanager.start() File "D:Program Filespython-3.7.9libmultiprocessingmanagers.py", line 563, in start self._process.start() File "D:Program Filespython-3.7.9libmultiprocessingprocess.py", line 112, in start self._popen = self._Popen(self) File "D:Program Filespython-3.7.9libmultiprocessingcontext.py", line 322, in _Popen return Popen(process_obj) File "D:Program Filespython-3.7.9libmultiprocessingpopen_spawn_win32.py", line 89, in __init__ reduction.dump(process_obj, to_child) File "D:Program Filespython-3.7.9libmultiprocessingreduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) _pickle.PicklingError: Can't pickle at 0x0000021EED298438>: attribute lookup on __main__ failed
首先查看报错内容，寻找错误源头‘manager.start()’，无法启动Queue，根据“_pickle.PicklingError: Can’t pickle
# 自定义函数return_tast_queue
def return_task_queue():
global task_queue
return task_queue
# 自定义函数return_result_queue
def return_result_queue():
global result_queue
return result_queue
# 把两个Queue都注册到网络上，callable参数关联了Queue对象
QueueManager.register('get_task_queue', callable=return_task_queue)
QueueManager.register('get_result_queue', callable=return_result_queue)
执行修改后的代码，再次报错，报错内容变化，说明上一个问题解决，新增其他问题。
报错（二）：
is not going to be frozen to produce an executable.‘’')……具体报错内容为：
"D:Program Filespython-3.7.9python.exe" D:/py/test-three/test_07.py Traceback (most recent call last): File "", line 1, in File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 105, in spawn_main exitcode = _main(fd) File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 114, in _main prepare(preparation_data) File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 277, in _fixup_main_from_path run_name="__mp_main__") File "D:Program Filespython-3.7.9librunpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "D:Program Filespython-3.7.9librunpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "D:Program Filespython-3.7.9librunpy.py", line 85, in _run_code exec(code, run_globals) File "D:pytest-threetest_07.py", line 32, in manager.start() File "D:Program Filespython-3.7.9libmultiprocessingmanagers.py", line 563, in start self._process.start() File "D:Program Filespython-3.7.9libmultiprocessingprocess.py", line 112, in start self._popen = self._Popen(self) File "D:Program Filespython-3.7.9libmultiprocessingcontext.py", line 322, in _Popen return Popen(process_obj) File "D:Program Filespython-3.7.9libmultiprocessingpopen_spawn_win32.py", line 46, in __init__ prep_data = spawn.get_preparation_data(process_obj._name) File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 143, in get_preparation_data _check_not_importing_main() File "D:Program Filespython-3.7.9libmultiprocessingspawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module: 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.
这个报错内容很明显，需要添加“if name == ‘main’:”，具体原理可参考文章【https://blog.csdn.net/shenfuli/article/details/103969964】
报错（三）：
"D:Program Filespython-3.7.9python.exe" D:/py/test-three/test_08.py Traceback (most recent call last): File "D:/py/test-three/test_08.py", line 36, intask = manager.get_task_queue() File "D:Program Filespython-3.7.9libmultiprocessingmanagers.py", line 724, in temp token, exp = self._create(typeid, *args, **kwds) File "D:Program Filespython-3.7.9libmultiprocessingmanagers.py", line 607, in _create conn = self._Client(self._address, authkey=self._authkey) File "D:Program Filespython-3.7.9libmultiprocessingconnection.py", line 492, in Client c = SocketClient(address) File "D:Program Filespython-3.7.9libmultiprocessingconnection.py", line 620, in SocketClient s.connect(address) OSError: [WinError 10049] 在其上下文中，该请求的地址无效。 进程已结束,退出代码1
此处就是照着源代码输入时，丢失ip，需要填入自己的IP，cmd输入‘ipconfig’查看本机ip，填入此段代码：manager = QueueManager(address=(‘此处填入本机IP’, 5000), authkey=b’abc’)
修改后的正确代码如下：
import random, queue
from multiprocessing.managers import BaseManager
# 发送任务的队列：
task_queue = queue.Queue()
# 接收结果的队列
result_queue = queue.Queue()
def return_task_queue():
global task_queue
return task_queue
def return_result_queue():
global result_queue
return result_queue
# 从BaseManager继承的QueueManager：
class QueueManager(BaseManager):
pass
if __name__ == '__main__':
# 把两个Queue都注册到网络上，callable参数关联了Queue对象
QueueManager.register('get_task_queue', callable=return_task_queue)
QueueManager.register('get_result_queue', callable=return_result_queue)
# 绑定端口5000，设置验证码‘abc’
manager = QueueManager(address=('本机ip', 5000), authkey=b'abc')
# 启动Queue：
manager.start()
# 获得通过网络访问的Queue对象
task = manager.get_task_queue()
result = manager.get_result_queue()
# 放几个任务进去：
for i in range(10):
n = random.randint(0, 10000)
print('Put task %d...' % n)
task.put(n)
# 从result队列读取结果：
print('Try get result...')
for i in range(10):
r = result.get(timeout=10)
print('Result: %s' % r)
# 关闭
manager.shutdown()
print('master exit.')
总结报错1和2是Windows系统特有，由于python在Windows运行，有些使用的方法与其他系统不一样，导致学习过程中提供代码无法正常运行，需要自行排查。
