`import juliacall` sometimes segfaults

**Affects:** JuliaCall

**Describe the bug**
I sometimes get segfaults when importing julicall in combination with other packages.

```
x@x ~ % python -c 'import juliacall; import torch; from torch.autograd import Function'
x@x ~ % python -c 'import torch; from torch.autograd import Function; import juliacall'
x@x ~ % python -c 'import torch; from torch.autograd import Function; import juliacall'
zsh: segmentation fault python3 -c
x@x ~ % python -c 'import torch; from torch.autograd import Function; import juliacall'
zsh: segmentation fault python3 -c
x@x ~ % python -c 'import torch; from torch.autograd import Function; import juliacall'
zsh: segmentation fault python3 -c
x@x ~ % python -c 'import torch; from torch.autograd import Function; import juliacall'
zsh: segmentation fault python3 -c
```

**Your system**
```
x@x ~ % python --version
Python 3.11.2
x@x ~ % julia -e 'using InteractiveUtils; versioninfo()'
Julia Version 1.9.3
Commit bed2cd540a1 (2023-08-24 14:43 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: macOS (arm64-apple-darwin22.4.0)
CPU: 8 × Apple M2
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, apple-m1)
Threads: 1 on 4 virtual cores
Environment:
JULIA_EDITOR = code
JULIA_PYTHONCALL_EXE = /Library/Frameworks/Python.framework/Versions/3.11/bin/python3
x@x ~ % python -m pip list
Package Version
------------------------- ---------
absl-py 2.0.0
accelerate 0.23.0
aiohttp 3.8.4
aiosignal 1.3.1
astunparse 1.6.3
async-timeout 4.0.2
attrs 22.2.0
cachetools 5.3.1
certifi 2022.12.7
cffi 1.15.1
charset-normalizer 3.1.0
click 8.1.3
codespell 2.2.6
comtypes 1.1.14
contourpy 1.0.7
cycler 0.11.0
diffeqpy 2.1.0
diffusers 0.21.1
Faker 19.10.0
filelock 3.12.4
fire 0.5.0
flatbuffers 23.5.26
fonttools 4.39.3
frozenlist 1.3.3
fsspec 2023.9.0
gast 0.4.0
google-auth 2.23.0
google-auth-oauthlib 1.0.0
google-pasta 0.2.0
grpcio 1.58.0
gTTS 2.3.1
h5py 3.9.0
huggingface-hub 0.17.1
idna 3.4
importlib-metadata 6.8.0
jill 0.11.5
Jinja2 3.1.2
jsonschema 4.19.0
jsonschema-specifications 2023.7.1
juliacall 0.9.14
juliapkg 0.1.10
keras 2.13.1
kiwisolver 1.4.4
libclang 16.0.6
llvmlite 0.41.0
Markdown 3.4.4
MarkupSafe 2.1.3
matplotlib 3.7.1
mecab-python3 1.0.6
mpmath 1.3.0
multidict 6.0.4
nanoid 2.0.0
networkx 3.1
numba 0.58.0
numpy 1.24.2
oauthlib 3.2.2
openai 0.27.2
opencv-python 4.7.0.72
opt-einsum 3.3.0
packaging 23.1
Pillow 9.5.0
pip 23.2.1
playsound 1.3.0
protobuf 4.24.3
psutil 5.9.5
pyasn1 0.5.0
pyasn1-modules 0.3.0
pycparser 2.21
pyobjc-framework-Vision 9.0.1
pyparsing 3.0.9
python-dateutil 2.8.2
python-gnupg 0.5.1
pyttsx3 2.91
PyYAML 6.0.1
referencing 0.30.2
regex 2023.8.8
requests 2.28.2
requests-futures 1.0.1
requests-oauthlib 1.3.1
rlvoice 1.0.0
rpds-py 0.10.2
rsa 4.9
safetensors 0.3.3
semantic-version 2.10.0
setuptools 65.5.0
six 1.16.0
sounddevice 0.4.6
srt 3.5.3
sympy 1.12
tensorboard 2.13.0
tensorboard-data-server 0.7.1
tensorflow 2.13.0
tensorflow-estimator 2.13.0
tensorflow-macos 2.13.0
termcolor 2.3.0
tokenizers 0.13.3
torch 2.0.1
tqdm 4.65.0
transformers 4.33.1
typing_extensions 4.5.0
urllib3 1.26.15
vosk 0.3.44
websockets 10.4
Werkzeug 2.3.7
wget 3.2
wheel 0.41.2
wrapt 1.15.0
yarl 1.8.2
zipp 3.16.2
x@x ~ % julia
_
_ _ _(_)_ | Documentation: https://docs.julialang.org
(_) | (_) (_) |
_ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 1.9.3 (2023-08-24)
_/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |

julia> juliapkg.status()
ERROR: UndefVarError: `juliapkg` not defined
Stacktrace:
[1] top-level scope
@ REPL[1]:1

julia>
x@x ~ % python -c 'import juliacall; juliacall.juliapkg.status()'
┌ Warning: attempting to remove probably stale pidfile
│ path = "/Users/x/.julia/logs/manifest_usage.toml.pid"
└ @ FileWatching.Pidfile ~/.julia/juliaup/julia-1.9.3+0.aarch64.apple.darwin14/share/julia/stdlib/v1.9/FileWatching/src/pidfile.jl:244
Traceback (most recent call last):
File "", line 1, in
AttributeError: module 'juliacall' has no attribute 'juliapkg'
```

No source file or test is identified in the report. Start by reproducing the two import-order commands on the stated macOS, Python, Julia, and package versions, then compare the failing and successful cases. Done means the crash has a reproducible cause and a verified fix or documented compatibility boundary.

Rédigé par le modèle d'indexation à partir du texte de l'issue.