为克服泡菜的局限性,我改用multiprocessing_on_dill
。
这开始产生错误:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 107, in spawn_main
exitcode = _main(fd)
File "C:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 117, in _main
self = reduction.pickle.load(from_parent)
ModuleNotFoundError: No module named '__builtin__'
有办法克服吗?
令人惊讶的是,它仍然引用C:\ProgramData\Anaconda3\lib\multiprocessing\
。
multiprocessing_on_dill
有自己的文件夹C:\ProgramData\Anaconda3\Lib\site-packages\multiprocessing_on_dill
,具有相同的文件集。
答案 0 :(得分:0)
我建议您使用multiprocess
而不是multiprocessing_on_dill
... dill
作者(我)会更好地支持和维护前者。似乎multiprocess_on_dill
正在寻找__builtin__
,这是内置函数驻留在python 2中的地方...在python 3中,它们位于builtins
>$ python
Python 2.7.16 (default, Apr 1 2019, 14:50:56)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import __builtin__
>>>
>$ python
Python 3.6.8 (default, Dec 30 2018, 13:04:41)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import __builtin__
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named '__builtin__'
>>> import builtins
>>>
所以,我认为是您正在运行python 3,并使用python 2版本的代码-或该模块不完全支持python 3。