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Jupyter/Python extensions break Live Share in VS Code stable

See original GitHub issue

Recently Live Share received this issue from customers about the Python and Jupyter extensions breaking Live Share coediting: https://github.com/MicrosoftDocs/live-share/issues/4199 Users experience the “connection dropping” when Python is enabled and they are trying to coedit a .py file. User are in a Live Share session and can’t send/receive coediting messages. Live Share works normally when Python was disabled.

Through my own testing, I discovered that this bug only repros on stable, but works as expected on Insiders.

Environment - Stable

Stable VS Code Version: 1.55.2 Python Version: 2021.4.765268190 Jupyter Version: 2021.5.745244803 Behavior: Connection drops in a Live Share session as described above.

Environment - Insiders

Insiders VS Code Version: 1.56.0 Python Version: 2021.4.765268190 Jupyter Version: 2021.6.811652604 Behavior: Live Share works as expected.

The newest version of Jupyter to download on stable is 2021.5.745244803 and the newest version to download on Insiders is 2021.6.811652604. It seems that the newer version will unblock our users. When will you be releasing the newer version of Jupyter to stable?

What could have changed between the extension versions that could cause this? Our users were complaining about the behavior in .py files, but I was able to repro the bug for .ipynb files on both stable and insiders, so it seems there is still an issue here.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:10

github_iconTop GitHub Comments

1reaction
alyssajoticecommented, May 7, 2021

Good news - users can now coedit python files in stable after the most recent update. I am going to close this issue and continue investigating if this repros with Jupyter notebooks. I don’t have a repro for that right now.

0reactions
alyssajoticecommented, May 6, 2021

What would cause Live share to drop a connection?

I am not sure but will try to investigate further. I will also check to see if the new version of Jupyter fixes the problem in stable.

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