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@dependabot dependabot bot commented on behalf of github Oct 13, 2025

Bumps python from 3.13.7-slim-trixie to 3.14.0-slim-trixie.

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Bumps python from 3.13.7-slim-trixie to 3.14.0-slim-trixie.

---
updated-dependencies:
- dependency-name: python
  dependency-version: 3.14.0-slim-trixie
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file docker Pull requests that update docker code labels Oct 13, 2025
@mlapaglia
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can be merged in when uvloop start supporting 3.14

@mlapaglia mlapaglia closed this Oct 21, 2025
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dependabot bot commented on behalf of github Oct 21, 2025

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@mlapaglia mlapaglia deleted the dependabot/docker/python-3.14.0-slim-trixie branch October 21, 2025 18:02
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codecov-commenter commented Oct 21, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 79.02%. Comparing base (8240b89) to head (f8fdc4f).
✅ All tests successful. No failed tests found.

Additional details and impacted files
@@           Coverage Diff            @@
##           develop     #146   +/-   ##
========================================
  Coverage    79.02%   79.02%           
========================================
  Files          146      146           
  Lines        13608    13608           
========================================
  Hits         10754    10754           
  Misses        2854     2854           
Flag Coverage Δ
integration 30.51% <0.00%> (ø)
unit 79.02% <0.00%> (ø)

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3 participants