我正在尝试遵循以下基于example的nordnet API.
在linux(Ubuntu)上,示例运行良好,但是当我在Windows计算机上尝试相同的操作时,出现以下错误。请注意,我已经从jupyter笔记本而不是CMD复制并粘贴了错误,因为我更喜欢jupyter中的回溯。
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TypeError Traceback (most recent call last)
<ipython-input-13-263240bbee7e> in <module>
----> 1 main()
<ipython-input-12-6bdb6840d154> in main()
35 # Start a parallel process that keeps receiving updates from the TCP socket
36 proc = Process(target=receive_message_from_socket, args=(feed_socket,))
---> 37 proc.start()
38
39 # Login to public feed with our session_key from NEXT API response
c:\program files\python36\lib\multiprocessing\process.py in start(self)
103 'daemonic processes are not allowed to have children'
104 _cleanup()
--> 105 self._popen = self._Popen(self)
106 self._sentinel = self._popen.sentinel
107 # Avoid a refcycle if the target function holds an indirect
c:\program files\python36\lib\multiprocessing\context.py in _Popen(process_obj)
221 @staticmethod
222 def _Popen(process_obj):
--> 223 return _default_context.get_context().Process._Popen(process_obj)
224
225 class DefaultContext(BaseContext):
c:\program files\python36\lib\multiprocessing\context.py in _Popen(process_obj)
320 def _Popen(process_obj):
321 from .popen_spawn_win32 import Popen
--> 322 return Popen(process_obj)
323
324 class SpawnContext(BaseContext):
c:\program files\python36\lib\multiprocessing\popen_spawn_win32.py in __init__(self, process_obj)
63 try:
64 reduction.dump(prep_data, to_child)
---> 65 reduction.dump(process_obj, to_child)
66 finally:
67 set_spawning_popen(None)
c:\program files\python36\lib\multiprocessing\reduction.py in dump(obj, file, protocol)
58 def dump(obj, file, protocol=None):
59 '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60 ForkingPickler(file, protocol).dump(obj)
61
62 #
c:\program files\python36\lib\socket.py in __getstate__(self)
183
184 def __getstate__(self):
--> 185 raise TypeError("Cannot serialize socket object")
186
187 def dup(self):
TypeError: Cannot serialize socket object