请帮助......
我有这个简单的脚本在Linux（Ubuntu）上运行没有任何问题，但在Windows上提供AuthenticationError: digest sent was rejected我知道它与multiprocessing.Manager有关，但不知道如何修复它还没有：
以下是代码：
(test)root@sharknado:/tmp# cat test3.py
import datetime
import multiprocessing
from multiprocessing import Manager
from pathos.multiprocessing import ProcessingPool
import time
class Test(object):
def __init__(self):
manager = Manager()
self.logs = manager.list()
def mysql_test(self, device):
self.logs.append('mysql-device connected: {0} at {1}'.format(device, time.asctime()))
def soap_test(self, device):
self.logs.append('soap_test-device connected: {0} at {1}'.format(device, time.asctime()))
def all_tests(self, device):
self.mysql_test(device)
self.soap_test(device)
def test_multiprocessing(self):
devices = range(5)
time_start = time.time()
pool = ProcessingPool(multiprocessing.cpu_count())
pool.map(self.all_tests, devices)
time_stop = time.time()
print 'prgm-time: {0}'.format(str(datetime.timedelta(seconds=time_stop-time_start)))
print '....................self.logs................'
for i in self.logs:
print i
def main():
test = Test()
test.test_multiprocessing()
if __name__ == '__main__':
main()
在Linux上，
(test)root@sharknado:/tmp# pip freeze
PyMySQL==0.6.2
dill==0.2.1
pathos==0.2a1.dev
pox==0.2
pp==1.6.4.2
processing==0.52-pathos
pyodbc==3.0.7
pyre==0.8.2.0-pathos
six==1.8.0
suds==0.4
wsgiref==0.1.2
(test)root@sharknado:/tmp# uname -a
Linux sharknado 3.13.0-32-generic #57-Ubuntu SMP Tue Jul 15 03:51:12 UTC 2014 i686 i686 i686 GNU/Linux
(test)root@sharknado:/tmp# python test3.py
prgm-time: 0:00:00.019835
....................self.logs................
mysql-device connected: 0 at Mon Oct 27 22:35:58 2014
soap_test-device connected: 0 at Mon Oct 27 22:35:58 2014
mysql-device connected: 1 at Mon Oct 27 22:35:58 2014
soap_test-device connected: 1 at Mon Oct 27 22:35:58 2014
mysql-device connected: 2 at Mon Oct 27 22:35:58 2014
soap_test-device connected: 2 at Mon Oct 27 22:35:58 2014
mysql-device connected: 3 at Mon Oct 27 22:35:58 2014
soap_test-device connected: 3 at Mon Oct 27 22:35:58 2014
mysql-device connected: 4 at Mon Oct 27 22:35:58 2014
soap_test-device connected: 4 at Mon Oct 27 22:35:58 2014
(test)root@sharknado:/tmp# python -version
(test)root@sharknado:/tmp# python --version
Python 2.7.8 :: Continuum Analytics, Inc.
(test)root@sharknado:/tmp#
...的Windows
[test] C:\Temp>python --version
Python 2.7.8 :: Continuum Analytics, Inc.
[test] C:\Temp>pip freeze
PyMySQL==0.6.2
argparse==1.2.1
ciscoconfparse==1.1.4
dill==0.2.1
netaddr==0.7.12
pathos==0.2a1.dev
pox==0.2
pp==1.6.4.2
processing==0.52-pathos
pyodbc==3.0.7
pyre==0.8.2.0-pathos
python-dateutil==2.2
pywin32==219
six==1.8.0
suds==0.4
wsgiref==0.1.2
[test] C:\Temp>systeminfo | findstr /B /C:"OS Name" /C:"OS Version"
OS Name: Microsoft Windows 7 Enterprise
OS Version: 6.1.7601 Service Pack 1 Build 7601
[test] C:\Temp> echo windows 32-bit
windows 32-bit
[test] C:\Temp>
[test] C:\Temp>python C:\Temp\tests\simple_test_pathos_multiprocessing.py
Process PoolWorker-4:
Traceback (most recent call last):
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\process.py", line 227, in _bootstrap
self.run()
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\process.py", line 85, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\pool.py", line 54, in worker
for job, i, func, args, kwds in iter(inqueue.get, None):
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\queue.py", line 327, in get
return recv()
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\dill\dill.py", line 160, in loads
return load(file)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\dill\dill.py", line 150, in load
obj = pik.load()
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\pickle.py", line 858, in load
dispatch[key](self)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\pickle.py", line 1133, in load_reduce
Process PoolWorker-1:
T value = func(*args)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\multiprocessing\managers.py", line 879, in RebuildProxy
raceback (most recent call last):
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\process.py", line 227, in _bootstrap
self.run()
return func(token, serializer, incref=incref, **kwds)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\process.py", line 85, in run
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\multiprocessing\managers.py", line 733, in __init__
self._target(*self._args, **self._kwargs)
self._incref()
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\pool.py", line 54, in worker
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\multiprocessing\managers.py", line 783, in _incref
for job, i, func, args, kwds in iter(inqueue.get, None):
conn = self._Client(self._token.address, authkey=self._authkey)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\processing\queue.py", line 327, in get
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\multiprocessing\connection.py", line 175, in Client
return recv()
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\dill\dill.py", line 160, in loads
answer_challenge(c, authkey)
return load(file)
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\multiprocessing\connection.py", line 435, in answer_challenge
File "C:\Users\foo\AppData\Local\Continuum\Miniconda\envs\test\lib\site-packages\dill\dill.py", line 150, in load
raise AuthenticationError('digest sent was rejected')
obj = pik.load()
A uthenticationError: digest sent was rejected
答案 0 :(得分：0)
最新版本（git master）应该解决这个问题，因为我已将pathos.multiprocessing分叉更新为最新版本的multiprocessing。
但是，在Windows上，我目前必须使用freeze_support，而在非Windows系统上，您甚至不必在__main__中运行。