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huan / node-facenet

Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node.js.
https://zixia.github.io/node-facenet/
Apache License 2.0
405 stars 77 forks source link

An in-range update of sinon is breaking the build 🚨 #71

Closed greenkeeper[bot] closed 6 years ago

greenkeeper[bot] commented 6 years ago

Version 4.0.2 of sinon was just published.

Branch Build failing 🚨
Dependency sinon
Current Version 4.0.1
Type devDependency

This version is covered by your current version range and after updating it in your project the build failed.

sinon is a devDependency of this project. It might not break your production code or affect downstream projects, but probably breaks your build or test tools, which may prevent deploying or publishing.

Status Details - ❌ **continuous-integration/travis-ci/push** The Travis CI build could not complete due to an error [Details](https://travis-ci.org/zixia/node-facenet/builds/292741970?utm_source=github_status&utm_medium=notification)
Commits

The new version differs by 21 commits.

  • 39e5737 Update docs/changelog.md and set new release id in docs/_config.yml
  • c2bd7b1 Add release documentation for v4.0.2
  • da24e94 4.0.2
  • cea60e8 Update History.md and AUTHORS for new release
  • d4dcfca Document the stub.reset breaking change (#1590)
  • aab1917 Merge pull request #1596 from mroderick/fix-preversion-to-use-history.md
  • 5dbe685 Update 'nise' to latest version (#1593)
  • 578b9ea Update History.md and AUTHORS for new release
  • 499b698 Fix preversion.sh to stage History.md
  • 1e5fd0f Remove unneeded characters
  • 2a69d51 fix typo in contributing
  • 6cc71ec Document how to trigger progress events (#1585)
  • e49fcf1 Fix broken test-coverage task
  • 527086a Use supports-color module to test if system supports colors
  • 78782b4 Merge pull request #1580 from mroderick/dependency-hygeine

There are 21 commits in total.

See the full diff

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greenkeeper[bot] commented 6 years ago

After pinning to 4.0.1 your tests are still failing. The reported issue might not affect your project. These imprecisions are caused by inconsistent test results.