Update jupyterlab-lsp requirement from ~=4.2.0 to ~=5.1.0 in /enterprise/redhat/openshift-ai/gaudi/docker

[dependabot]

Updates the requirements on jupyterlab-lsp to permit the latest version.

Release notes

Sourced from jupyterlab-lsp's releases.

v5.1.0

This release includes a new experimental document outline feature (for file editor) and a number of bug fixes. JupyterLab 4.1 or newer is required for this version.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.1.0 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.1.0 jupyter-lsp==2.2.3 'jupyterlab>=4.1.0'
   # 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=5.1.0 jupyter-lsp=2.2.3 'jupyterlab>=4.1.0'

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

jupyterlab-lsp 5.1.0

Requires JupyterLab >=4.1.0,<5.0.0a0

• new features:
  • populate table of contents with code symbols outline (experimental, file editor only)
• bug fixes:
  • fix settings reconciliation for nested properties (#1051)
  • fix a regression introduced in v5.0.2 which meant that overrides for native kernel and context completion providers were never active (#1057)
  • reduces some warnings in places known to have false positives to debug statements (#1057)
  • highlights no longer get instantly removed when navigating to a beginning of cell from another cell (#1057)
  • with the use of the new extensionFactory API (#1057):
    • LSP features work more reliably as the correct virtual document and editor is known rather than found from heuristics
    • LSP CodeMirror extensions are not added to editors which do not have an LSP-enabled editor reducing spurious warnings and improving performance
    • LSP CodeMirror extensions are only added once the LSP server was connected
• maintenance:
  • use new extensionFactory API allowing to remove workarounds that were needed to make the extension work in JupyterLab 4.0 (#1057)
  • remove no-longer needed patches for VirtualDocument as these were merged upstream and released in JupyterLab 4.1 (#1057)
  • update coverage, robot version and reporting approaches (#1052)
  • build against JupyterLab 4.1, fix tests (#1057)
  • bump ip from 2.0.0 to 2.0.1 (#1055)

jupyter-lsp 2.2.3

• maintenance:
  • updates pyright config schema to v1.1.350

Changelog

Sourced from jupyterlab-lsp's changelog.

@jupyter-lsp/jupyterlab-lsp 5.1.0

Requires JupyterLab >=4.1.0,<5.0.0a0

• new features:
  • populate table of contents with code symbols outline (experimental, file editor only)
• bug fixes:
  • fix settings reconciliation for nested properties (#1051)
  • fix a regression introduced in v5.0.2 which meant that overrides for native kernel and context completion providers were never active (#1057)
  • reduces some warnings in places known to have false positives to debug statements (#1057)
  • highlights no longer get instantly removed when navigating to a beginning of cell from another cell (#1057)
  • with the use of the new extensionFactory API (#1057):
    • LSP features work more reliably as the correct virtual document and editor is known rather than found from heuristics
    • LSP CodeMirror extensions are not added to editors which do not have an LSP-enabled editor reducing spurious warnings and improving performance
    • LSP CodeMirror extensions are only added once the LSP server was connected
• maintenance:
  • use new extensionFactory API allowing to remove workarounds that were needed to make the extension work in JupyterLab 4.0 (#1057)
  • remove no-longer needed patches for VirtualDocument as these were merged upstream and released in JupyterLab 4.1 (#1057)
  • update coverage, robot version and reporting approaches (#1052)
  • build against JupyterLab 4.1, fix tests (#1057)
  • bump ip from 2.0.0 to 2.0.1 (#1055)

jupyter-lsp 2.2.3

• maintenance:
  • updates pyright config schema to v1.1.350

@jupyter-lsp/jupyterlab-lsp 5.0.3

• bug fixes:
  • fix nested transclusions in JupyterLab 4.0.7+ (#1045)
  • fix completions when type is not defined (#1044)

@jupyter-lsp/jupyterlab-lsp 5.0.2

• bug fixes:
  • fix native JupyterLab completion not working when LSP completion plugin is disabled (#1036)

jupyter-lsp 2.2.2

• bug fixes:
  • address warning about renamed extension_points (#1035)
  • fix compatibility with jupyter server 1.x
  • fix an authentication-related security vulnerability (see the advisory for details)
• enhancements:
  • add authorization support (lsp resource, jupyter-server v2+ only) - this allows server operators for fine grained access control, e.g. in case if specific users (such as guest or read-only users) should not be allowed to access LSP; this is in addition to authentication fixes

@jupyter-lsp/jupyterlab-lsp 5.0.1

• bug fixes:

... (truncated)

Commits

• 18d5c8c Merge pull request #1062 from krassowski/more-prep-for-5.1
• 20ed509 Update versions in the main package and in the lock file
• 304f6bb Bump setup-node to v4
• 39f4618 Bump versions of completion-theme and code-jumpers packages
• 573b887 Remove a log
• 7f20250 Merge pull request #1061 from krassowski/prepare-relase-5.1.0
• 4a1bc75 Add changelog entry and update versions
• 1a80997 Ensure file editor extension will not be added twice in future
• a0b6082 Fix non-nullish assumption
• 93adefd Contribute symbols to ToC (#970)
• Additional commits viewable in compare view

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[github-actions]

Dependency Review

✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.

OpenSSF Scorecard

Package	Version	Score	Details
pip/jupyterlab-lsp	~> 5.1.0	🟢 4.7	Details Check Score Reason Code-Review ⚠️ 1 Found 2/11 approved changesets -- score normalized to 1 Maintained 🟢 4 1 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 4 CII-Best-Practices ⚠️ 0 no effort to earn an OpenSSF best practices badge detected License 🟢 10 license file detected Signed-Releases ⚠️ -1 no releases found Branch-Protection ⚠️ -1 internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration Dangerous-Workflow 🟢 10 no dangerous workflow patterns detected Token-Permissions ⚠️ 0 detected GitHub workflow tokens with excessive permissions Packaging ⚠️ -1 packaging workflow not detected Binary-Artifacts 🟢 10 no binaries found in the repo Fuzzing ⚠️ 0 project is not fuzzed Security-Policy 🟢 10 security policy file detected Pinned-Dependencies ⚠️ 0 dependency not pinned by hash detected -- score normalized to 0 SAST 🟢 10 SAST tool is run on all commits Vulnerabilities ⚠️ 0 18 existing vulnerabilities detected

Scanned Manifest Files

enterprise/redhat/openshift-ai/gaudi/docker/requirements.txt

• jupyterlab-lsp@~> 5.1.0
• jupyterlab-lsp@~> 4.2.0

[dependabot]

Superseded by #384.