To overcome the limitations of pickle, I switched to multiprocessing_on_dill
.
This started to generate an error:
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__'
Is there a way to overcome it?
Surprisingly, it still references C:\\ProgramData\\Anaconda3\\lib\\multiprocessing\\
.
While multiprocessing_on_dill
has its own folder C:\\ProgramData\\Anaconda3\\Lib\\site-packages\\multiprocessing_on_dill
with the same set of files.
I'd suggest you use multiprocess
instead of multiprocessing_on_dill
... the former is better supported, and maintained by the dill
author (me). It looks like multiprocess_on_dill
is looking for __builtin__
, which is where the builtin functions lived in python 2... in python 3, they are in 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
>>>
So, I think it's either you are running python 3, and using the python 2 version of the code -- or the module doesn't fully support python 3.
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