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deps: bump the prod-deps group across 1 directory with 2 updates #533

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Bumps the prod-deps group with 2 updates in the / directory: jupyterlab and jupytext.

Updates jupyterlab from 4.4.9 to 4.4.10

Release notes

Sourced from jupyterlab's releases.

v4.4.10

4.4.10

(Full Changelog)

Bugs fixed

Maintenance and upkeep improvements

Documentation improvements

Contributors to this release

(GitHub contributors page for this release)

@​andrii-i | @​arjxn-py | @​Darshan808 | @​github-actions | @​hxrshxz | @​jtpio | @​jupyterlab-probot | @​krassowski | @​lumberbot-app | @​martinRenou | @​meeseeksmachine

Commits
  • a4e885c [ci skip] Publish 4.4.10
  • 58c8b82 Backport PR #18019: Fix ObservableList.removeValue behaviour: if item isn't...
  • fef0b41 Backport PR #17797: Fix highlighting search on output cells and previous matc...
  • 0a22bdf Backport PR #17981: Fix spurious scrollbar in output area due to prompt overl...
  • e5034ac Backport PR #17982: Fix race condition renaming unnamed files on first save (...
  • 28d76c0 Backport PR #17992: Bandaid: pin ipykernel on CI to pre-7.0 (#17995)
  • 21e0f10 Backport PR #17983: Update JupyterCon 2025 announcement links (#17989)
  • 55f0f1d Backport PR #17949: Fix empty whitespace after large cell rendering (#17968)
  • 86a9e8d Backport PR #17953: Add cross-references to API reference, fix missing packag...
  • 07ae5fe Fix examples on 4.4.x (#17963)
  • Additional commits viewable in compare view

Updates jupytext from 1.17.3 to 1.18.1

Release notes

Sourced from jupytext's releases.

Version 1.18.1

Fixed

  • Fixed test test_check_source_is_newer_when_using_jupytext_sync to work reliably on systems with low filesystem timestamp resolution (#1460)

Changed

  • We now use pixi to maintain the local Python environments used for developing and testing Jupytext.

Version 1.18.0

Added

  • The documentation has a chapter on the Jupytext Sync extension for VS Code (#1395)
  • We have added a new option --check-source-is-newer to the Jupytext CLI. Use this option if you want to make sure that the file passed as argument to Jupytext is the newest of all paired files, and/or newer than the destination file.
  • We have added a section on Jupyter Collaboration which also provides a very useful autoreload functionality (#406, #1401)
  • Pairing groups allow you to define different pairing configurations for specific subsets of notebooks. The formats configuration option now supports a list of format dictionaries for first-match pairing. Use [[formats]] sections in your TOML configuration to define multiple format specifications, where the first matching format is used. This allows applying different pairing rules to notebooks in different locations, such as generating documentation markdown files only for tutorial notebooks (#1383)
  • We have added more tests to document the complex pairing formats, which also work on Windows (#1028)
  • Pairing into nested folders was fixed on Windows (#1028)
  • Jupytext is now tested with Python 3.14 (#1456)

Fixed

  • The Jupytext CLI now detects if a file it has read or consulted has been modified while it was processing it. That can happen in the context of the Jupytext Sync extension for VS Code (#1411, [vscode-jupytext-sync-#12](caenrigen/vscode-jupytext-sync#12)). When such a synchronous modification is detected, Jupytext now raises an error. Many thanks to Anne Archibald for reporting the issue and preparing an inspiring PR (#1417).
  • We don't import notebook when jupyter_server is available (#1436)
  • Jupytext now supports more characters in the cell metadata keys, to improve compatibility with jupyterlab-slideshow (#1441). Thanks to Nicolas Thierry for this fix.
  • The function find_jupytext_configuration_file now works with relative directories (#1440). This fix was contributed by Thierry Parmentelat.
  • We have fixed a parsing error for R Markdown files (#1429)
  • We have fixed a parsing error when the first cell of the notebook contains a YAML header that is not a dict (#1444)

Changed

Version 1.18.0rc0

Added

  • The documentation has a chapter on the Jupytext Sync extension for VS Code (#1395)
  • We have added a new option --check-source-is-newer to the Jupytext CLI. Use this option if you want to make sure that the file passed as argument to Jupytext is the newest of all paired files, and/or newer than the destination file.
  • We have added a section on Jupyter Collaboration which also provides a very useful autoreload functionality (#406, #1401)
  • Pairing groups allow you to define different pairing configurations for specific subsets of notebooks. The formats configuration option now supports a list of format dictionaries for first-match pairing. Use [[formats]] sections in your TOML configuration to define multiple format specifications, where the first matching format is used. This allows applying different pairing rules to notebooks in different locations, such as generating documentation markdown files only for tutorial notebooks (#1383)
  • We have added more tests do document the complex pairing formats, which also work on Windows (#1028)
  • Pairing into nested folders was fixed on Windows (#1028)
  • Jupytext is now tested with Python 3.14 (#1456)

Fixed

  • The Jupytext CLI now detects if a file it has read or consulted has been modified while it was processing it. That can happen in the context of the Jupytext Sync extension for VS Code (#1411, [vscode-jupytext-sync-#12](caenrigen/vscode-jupytext-sync#12)). When such a synchronous modification is detected, Jupytext now raises an error. Many thanks to Anne Archibald for reporting the issue and preparing an inspiring PR (#1417).
  • We don't import notebook when jupyter_server is available (#1436)
  • Jupytext now support more characters in the cell metadata keys, to improve compatibility with jupyterlab-slideshow (#1441). Thanks to Nicolas Thierry for this fix.
  • The function find_jupytext_configuration_file now works with relative directories (#1440). This fix was contributed by Thierry Parmentelat.
  • We have fixed a parsing error for R Markdown files (#1429)

Changed

Changelog

Sourced from jupytext's changelog.

1.18.1 (2025-10-19)

Fixed

  • Fixed test test_check_source_is_newer_when_using_jupytext_sync to work reliably on systems with low filesystem timestamp resolution (#1460)

Changed

  • We now use pixi to maintain the local Python environments used for developing and testing Jupytext.

1.18.0 (2025-10-18)

Added

  • The documentation has a chapter on the Jupytext Sync extension for VS Code (#1395)
  • We have added a new option --check-source-is-newer to the Jupytext CLI. Use this option if you want to make sure that the file passed as argument to Jupytext is the newest of all paired files, and/or newer than the destination file.
  • We have added a section on Jupyter Collaboration which also provides a very useful autoreload functionality (#406, #1401)
  • Pairing groups allow you to define different pairing configurations for specific subsets of notebooks. The formats configuration option now supports a list of format dictionaries for first-match pairing. Use [[formats]] sections in your TOML configuration to define multiple format specifications, where the first matching format is used. This allows applying different pairing rules to notebooks in different locations, such as generating documentation markdown files only for tutorial notebooks (#1383)
  • We have added more tests to document the complex pairing formats, which also work on Windows (#1028)
  • Pairing into nested folders was fixed on Windows (#1028)
  • Jupytext is now tested with Python 3.14 (#1456)

Fixed

  • The Jupytext CLI now detects if a file it has read or consulted has been modified while it was processing it. That can happen in the context of the Jupytext Sync extension for VS Code (#1411, [vscode-jupytext-sync-#12](caenrigen/vscode-jupytext-sync#12)). When such a synchronous modification is detected, Jupytext now raises an error. Many thanks to Anne Archibald for reporting the issue and preparing an inspiring PR (#1417).
  • We don't import notebook when jupyter_server is available (#1436)
  • Jupytext now supports more characters in the cell metadata keys, to improve compatibility with jupyterlab-slideshow (#1441). Thanks to Nicolas Thierry for this fix.
  • The function find_jupytext_configuration_file now works with relative directories (#1440). This fix was contributed by Thierry Parmentelat.
  • We have fixed a parsing error for R Markdown files (#1429)
  • We have fixed a parsing error when the first cell of the notebook contains a YAML header that is not a dict (#1444)

Changed

Commits
  • 760013e Fix timestamp issue in test_check_source_is_newer_when_using_jupytext_sync (#...
  • 2a9162d Transition to Pixi
  • f412847 Version 1.18.0
  • 860d9c0 Add an example jupyterlab-slideshow notebook
  • b39919e Test Jupytext with Python 3.14 (#1457)
  • 72ed864 Support formats lists for subset-specific notebook pairing (#1453)
  • 0b453a3 Add more tests to demonstrate the pairing, including on Windows
  • f96cfec Revert "Fix Windows path separator issue in paired notebooks (#1454)"
  • 3b47cde Fix Windows path separator issue in paired notebooks (#1454)
  • bc4f23e Fix AttributeError when raw cell contains non-dict YAML content (#1451)
  • Additional commits viewable in compare view

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@dependabot
deps: bump the prod-deps group across 1 directory with 2 updates
5316a49 
Bumps the prod-deps group with 2 updates in the / directory: [jupyterlab](https://github.com/jupyterlab/jupyterlab) and [jupytext](https://github.com/mwouts/jupytext).


Updates `jupyterlab` from 4.4.9 to 4.4.10
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/main/RELEASE.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.4.9...@jupyterlab/lsp@4.4.10)

Updates `jupytext` from 1.17.3 to 1.18.1
- [Release notes](https://github.com/mwouts/jupytext/releases)
- [Changelog](https://github.com/mwouts/jupytext/blob/main/CHANGELOG.md)
- [Commits](mwouts/jupytext@v1.17.3...v1.18.1)

---
updated-dependencies:
- dependency-name: jupyterlab
  dependency-version: 4.4.10
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: prod-deps
- dependency-name: jupytext
  dependency-version: 1.18.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod-deps
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file ignore Use this label to ignore this item in the changelog. Non-breaking Change Schema: No Changes No updates to the BuildingSync Schema labels Oct 27, 2025
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