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@krassowski krassowski released this 08 Oct 12:30
· 102 commits to main since this release
v5.0.0
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Learn about vigilant mode.

This release brings support for JupyterLab 4.0. Known issues/limitations are listed in the changelog below. Please report any other regression on GitHub issue tracker and feel welcome to open a pull request if you would like to contribute an enhancement or a bug fix. For older JupyterLab versions please use jupyterlab-lsp 4.x line.

Extension authors: feature registration is now handled by upstream @jupyterlab/lsp package; migration overview notes are available in the documentation. Please note that better support for CodeMirror6 integration will be available in JupyterLab 4.1 release.

To upgrade to this release:

  1. Make sure your JupyterLab version is 4.0.6 or newer and Python version is 3.8 or newer.
  2. Update the extension: 
    pip install jupyterlab-lsp==5.0.0 jupyter-lsp==2.2.0 'jupyterlab>=4.0.6'
# or, for conda:
# > Please note that conda packages may take a day or two since release before becoming available!
# conda install -c conda-forge jupyterlab-lsp=5.0.0 jupyter-lsp=2.2.0 'jupyterlab>=4.0.6'
  3. If installing this extension for the first time:
    • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
    • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

  • enhancements:
    • uses toast notifications instead of messages on status bar
    • diagnostics panel will be re-opened on reload
  • maintenance:
    • support JupyterLab 4
    • use upstream @jupyterlab/lsp package
    • use camelCase convention in TypeScript/JavaScript code
    • use @codemirror/linter to show diagnostics
      • this comes with a different style of underlines and custom tooltips
  • known issues/limitations:
    • configuration of language servers via JSON Settings Editor may result in a spurious warning due to a transitive clash with settings from the UI editor when using nested pattern (e.g. {pylsp: {flake8: {enabled: true}}}); the dotted pattern (e.g. {"pylsp.flake8.enabled": true}) does not lead to such problem.
    • enabling auto-invoke of completer requires toggling checkbox in both native and LSP Code Completion settings
    • robot mode does not support JupyterLab 4.0, hence robot LSP will not work either
    • renaming in docker files may not work on certain variables due to upstream tokenizer issue

Full Changelog: v4.3.0...v5.0.0

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