After `apply()` and `asyncio.run()`, Jupyter kernel cannot execute any code
Chaoses-Ib opened this issue · 7 comments
Before I call nest_asyncio.apply(), the notebook works fine. However, after I call apply() and asyncio.run(), the notebook cannot execute any cells and will block forever.
I've tested this on Python 3.9 and Python 3.12, the official Jupyter Notebook and VS Code's Jupyter Notebook extension, all have this problem. But just a few days ago there was no problem. I'm not sure what happened.
Example
# %%
import asyncio
# %%
await asyncio.sleep(1)
print(123)
# %%
print(456)
# %%
import nest_asyncio
nest_asyncio.apply()
# %%
await asyncio.sleep(1)
print(123)
# %%
asyncio.run(asyncio.sleep(1))
print(123)
# %%
print(456)
Packages
Package Version
------------------ -------
aiohttp 3.9.1
aiosignal 1.3.1
asttokens 2.4.1
attrs 23.2.0
colorama 0.4.6
comm 0.2.1
debugpy 1.6.7
decorator 5.1.1
exceptiongroup 1.2.0
executing 2.0.1
frozenlist 1.4.1
idna 3.6
importlib-metadata 7.0.1
ipykernel 6.28.0
ipython 8.19.0
ipywidgets 8.1.1
jupyter_client 8.6.0
jupyter_core 5.5.0
jupyterlab-widgets 3.0.9
matplotlib-inline 0.1.6
multidict 6.0.4
nest-asyncio 1.5.8
networkx 3.2.1
packaging 23.2
parso 0.8.3
pickleshare 0.7.5
pillow 10.2.0
pip 23.3.1
platformdirs 4.1.0
prompt-toolkit 3.0.42
psutil 5.9.0
pure-eval 0.2.2
Pygments 2.17.2
python-dateutil 2.8.2
pywin32 305.1
pyzmq 25.1.0
setuptools 68.2.2
six 1.16.0
stack-data 0.6.2
tornado 6.3.3
traitlets 5.14.1
typing_extensions 4.9.0
wcwidth 0.2.12
wheel 0.41.2
widgetsnbextension 4.0.9
yarl 1.9.4
zipp 3.17.0
The above example code runs fine for me on Jupyter notebook, Jupyter lab en VSCode. This is with Python 3.12.1 and the latest relevant packages.
jupyter-events==0.9.0
jupyter-lsp==2.2.0
jupyter_client==8.6.0
jupyter_core==5.5.0
jupyter_server==2.10.0
jupyter_server_terminals==0.4.4
jupyterlab==4.0.10
jupyterlab-pygments==0.2.2
jupyterlab_server==2.25.1
I created an env with Python 3.12.1 and the packages you listed. The problem can still be reproduced on Jupyter Notebook, Jupyter Lab and VS Code.
Python 3.12.1 | packaged by conda-forge | (main, Dec 23 2023, 07:53:56) [MSC v.1937 64 bit (AMD64)] on win32
Package Version
------------------------- ---------------
anyio 4.2.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
async-lru 2.0.4
attrs 23.2.0
Babel 2.14.0
beautifulsoup4 4.12.2
bleach 6.1.0
certifi 2023.11.17
cffi 1.16.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.1
debugpy 1.8.0
decorator 5.1.1
defusedxml 0.7.1
executing 2.0.1
fastjsonschema 2.19.1
fqdn 1.5.1
idna 3.6
ipykernel 6.28.0
ipython 8.19.0
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.2
json5 0.9.14
jsonpointer 2.4
jsonschema 4.20.0
jsonschema-specifications 2023.12.1
jupyter_client 8.6.0
jupyter_core 5.5.0
jupyter-events 0.9.0
jupyter-lsp 2.2.0
jupyter_server 2.10.0
jupyter_server_terminals 0.4.4
jupyterlab 4.0.10
jupyterlab-pygments 0.2.2
jupyterlab_server 2.25.1
MarkupSafe 2.1.3
matplotlib-inline 0.1.6
mistune 3.0.2
nbclient 0.9.0
nbconvert 7.14.0
nbformat 5.9.2
nest-asyncio 1.5.8
notebook_shim 0.2.3
overrides 7.4.0
packaging 23.2
pandocfilters 1.5.0
parso 0.8.3
pip 23.3.2
platformdirs 4.1.0
prometheus-client 0.19.0
prompt-toolkit 3.0.43
psutil 5.9.7
pure-eval 0.2.2
pycparser 2.21
Pygments 2.17.2
python-dateutil 2.8.2
python-json-logger 2.0.7
pywin32 306
pywinpty 2.0.12
PyYAML 6.0.1
pyzmq 25.1.2
referencing 0.32.1
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.16.2
Send2Trash 1.8.2
setuptools 69.0.3
six 1.16.0
sniffio 1.3.0
soupsieve 2.5
stack-data 0.6.3
terminado 0.18.0
tinycss2 1.2.1
tornado 6.4
traitlets 5.14.1
types-python-dateutil 2.8.19.20240106
uri-template 1.3.0
urllib3 2.1.0
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.7.0
wheel 0.42.0
What's your OS?
Windows 11 23H2 (22631.2861). Just tried, in my WSL2 there is no such problem. Maybe I should just stop using Windows...
I found someone who had the exact same problem as me, although it was about three years ago: winpython/winpython#950
It will be a long while before I can test this on Windows.
👍Upgraded to v1.5.9 and now it's working fine.