microsoft / PullRequestQuantifier

A highly customizable framework to quantify a pull request within a repository context.
MIT License
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Bump word-wrap from 1.2.3 to 1.2.4 in /src/Clients/PullRequestQuantifier.VsCode.Client/pull-request-quantifier #228

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps word-wrap from 1.2.3 to 1.2.4.

Release notes

Sourced from word-wrap's releases.

1.2.4

What's Changed

New Contributors

Full Changelog: https://github.com/jonschlinkert/word-wrap/compare/1.2.3...1.2.4

Commits
  • f64b188 run verb to generate README
  • 03ea082 Merge pull request #42 from jonschlinkert/chore/publish-workflow
  • 420dce9 Merge pull request #41 from jonschlinkert/fix/CVE-2023-26115-2
  • bfa694e Update .github/workflows/publish.yml
  • ace0b3c chore: bump version to 1.2.4
  • 6fd7275 chore: add publish workflow
  • 30d6daf chore: fix test
  • 655929c chore: remove package-lock
  • 49e08bb chore: added an additional testcase
  • 9f62693 fix: cve 2023-26115
  • Additional commits viewable in compare view


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pull-request-quantifier-deprecated[bot] commented 1 year ago

This PR has 0 quantified lines of changes. In general, a change size of upto 27 lines is ideal for the best PR experience!


Quantification details

``` Label : No Changes Size : +0 -0 Percentile : 0% Total files changed: 1 Change summary by file extension: .json : +0 -0 ``` > Change counts above are quantified counts, based on the [PullRequestQuantifier customizations](https://github.com/microsoft/PullRequestQuantifier/blob/main/docs/prquantifier-yaml.md).

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a balance between between PR complexity and PR review overhead. PRs within the optimal size (typical small, or medium sized PRs) mean: - Fast and predictable releases to production: - Optimal size changes are more likely to be reviewed faster with fewer iterations. - Similarity in low PR complexity drives similar review times. - Review quality is likely higher as complexity is lower: - Bugs are more likely to be detected. - Code inconsistencies are more likely to be detected. - Knowledge sharing is improved within the participants: - Small portions can be assimilated better. - Better engineering practices are exercised: - Solving big problems by dividing them in well contained, smaller problems. - Exercising separation of concerns within the code changes. #### What can I do to optimize my changes - Use the PullRequestQuantifier to quantify your PR accurately - Create a context profile for your repo using the [context generator](https://github.com/microsoft/PullRequestQuantifier/releases) - Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the `Excluded` section from your `prquantifier.yaml` context profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your `prquantifier.yaml` context profile. - Only use the labels that matter to you, [see context specification](./docs/prquantifier-yaml.md) to customize your `prquantifier.yaml` context profile. - Change your engineering behaviors - For PRs that fall outside of the desired spectrum, review the details and check if: - Your PR could be split in smaller, self-contained PRs instead - Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR). #### How to interpret the change counts in git diff output - One line was added: `+1 -0` - One line was deleted: `+0 -1` - One line was modified: `+1 -1` (git diff doesn't know about modified, it will interpret that line like one addition plus one deletion) - Change percentiles: Change characteristics (addition, deletion, modification) of this PR in relation to all other PRs within the repository.


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