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msoechting avatar msoechting commented on May 23, 2024

Hi Guankui, thanks for your report! What IDE/program are you using to display Jupyter notebook content? Also, is it possible to retrieve any error message, e.g., through a web inspector? Thanks 😃

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Guankuiliu avatar Guankuiliu commented on May 23, 2024

Here it is:
localhost-1711090551706.log

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msoechting avatar msoechting commented on May 23, 2024

Hi @Guankuiliu, thanks for the log! I have an idea on what might be the issue. Which program/IDE are you using though? I would need to test my solution locally and don't recognize the GUI in your screenshot 😄

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Guankuiliu avatar Guankuiliu commented on May 23, 2024

Hi @msoechting,
I am using the "oceans16" theme from Jupyterthemes. Here is the list of packages for the conda environment. The operating system is Win10, and the browser is Chrome. requirements.txt

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msoechting avatar msoechting commented on May 23, 2024

Hi @Guankuiliu,

Your requirements.txt does not contain jupyter_server or jupyterthemes, I am not sure the requirements.txt is complete?

I could not reproduce the issue in a Python virtualenv with Jupyter Notebook 7.1.2 or 6.0.0 with your requirements and the "oceans16" theme installed on Windows 11:
grafik

Ideas for fixing:

  1. Try "trusting" the environment (top-right, next to the kernel selection)
  2. Try upgrading Jupyter Notebook
  3. Try using Jupyter Lab (jupyter lab instead of jupyter notebook)
  4. Try installing widgetsnbextension or ipywidgets 4.0 (based on a warning I got in my web console)
  5. Sometimes the extension JavaScript code is fetched from NPM instead of locally. However, I saw that the default NPM registry is blocked in China, maybe this is a problem? (https://stackoverflow.com/questions/22764407/npm-install-goes-to-dead-in-china)
  6. Try in a fresh environment and run pip install lexcube, which also installs the latest compatible Jupyter version.

If the issue persists, you can also provide:

  1. Exact browser version you are using (three dot menu -> "About Google Chrome")
  2. Python version (python --version)

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