Debugger warning: It seems that frozen modules are being used

Notebook
1

I’m using Jupyter Notebook 7 and trying to install new environment by python -m ipykernel install and manage environments by jupyter kernelspec.

I get this when I run python -m ipykernel xxx or jupyter kernelspec xxx

0.00s - Debugger warning: It seems that frozen modules are being used, which may
0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
0.00s - to python to disable frozen modules.
0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
  1. I don’t want to see this warning when I’m managing my environments. What’s the correct choice to avoid this?
  2. I found the debugger work well even without -Xfrozen_modules=off in kernel.json. So what does frozen modules mean and what does it affect?

I’ve tried the solution offered in Debugger warning: It seems that frozen modules are being used (Python 3.11.0) - #21 by krassowski, but it doesn’t work.

Environment Info

The anaconda is newly installed. (Version 2023.09-0)

Ubuntu: 22.04 (running on WSL2)
 conda: 24.1.1
Python: 3.11.5

jupyter --version

IPython          : 8.20.0
ipykernel        : 6.28.0
ipywidgets       : 8.0.4
jupyter_client   : 8.6.0
jupyter_core     : 5.5.0
jupyter_server   : 2.10.0
jupyterlab       : 4.0.11
nbclient         : 0.8.0
nbconvert        : 7.10.0
nbformat         : 5.9.2
notebook         : 7.0.8
qtconsole        : 5.4.2
traitlets        : 5.7.1
2

By it does not work do you mean that you see the warning when managing kernels using python -m ipykernel, or when running the kernel? The solution so far is for not showing the warning on runtime when spwaning kernel, not for hiding it during kernel spec management operations.