Error due to libpython issuses
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- Python
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Description
Hi, this might be an overlapping issue from previous ones but since I couldn't find a way to solve it, I'm leaving it here.
When I'm trying to import Base, it shows the issue below. I am trying to use another python-julia package `diffeqpy` and I can not use it also because of this issue.
I tried the "workaround" suggested on the page and seemed nothing really helped much.
Any kind of comments would be very helpful.
```
>>> from julia import Base
Traceback (most recent call last):
File "", line 1, in
File "", line 1007, in _find_and_load
File "", line 986, in _find_and_load_unlocked
File "", line 664, in _load_unlocked
File "", line 627, in _load_backward_compatible
File "/Users/juanko/miniconda3/envs/node/lib/python3.9/site-packages/julia/core.py", line 248, in load_module
elif self.julia.isafunction(juliapath):
File "/Users/juanko/miniconda3/envs/node/lib/python3.9/site-packages/julia/core.py", line 239, in julia
self.__class__.julia = julia = Julia()
File "/Users/juanko/miniconda3/envs/node/lib/python3.9/site-packages/julia/core.py", line 483, in __init__
raise UnsupportedPythonError(jlinfo)
julia.core.UnsupportedPythonError: It seems your Julia and PyJulia setup are not supported.
Julia executable:
julia
Python interpreter and libpython used by PyCall.jl:
/Users/juanko/miniconda3/envs/node/bin/python3
/Users/juanko/miniconda3/envs/node/lib/libpython3.9.dylib
Python interpreter used to import PyJulia and its libpython.
/Users/juanko/miniconda3/envs/node/bin/python3
/Users/juanko/miniconda3/envs/node/lib/libpython3.9.dylib
Your Python interpreter "/Users/juanko/miniconda3/envs/node/bin/python3"
is statically linked to libpython. Currently, PyJulia does not fully
support such Python interpreter.
The easiest workaround is to pass `compiled_modules=False` to `Julia`
constructor. To do so, first *reboot* your Python REPL (if this happened
inside an interactive session) and then evaluate:
>>> from julia.api import Julia
>>> jl = Julia(compiled_modules=False)
Another workaround is to run your Python script with `python-jl`
command bundled in PyJulia. You can simply do:
$ python-jl PATH/TO/YOUR/SCRIPT.py
See `python-jl --help` for more information.
For more information, see:
https://pyjulia.readthedocs.io/en/latest/troubleshooting.html
```
Thanks
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