sdttttt / gcr

📑 Compact specification git commit tool, it has a variety of practical small functions. (Inspired by git-cz on Node.js)
https://crates.io/crates/grc
The Unlicense
28 stars 6 forks source link

chore(deps): bump edit from 0.1.3 to 0.1.4 #118

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps edit from 0.1.3 to 0.1.4.

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codecov[bot] commented 2 years ago

Codecov Report

Merging #118 (422c3a4) into master (7372ac4) will not change coverage. The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #118   +/-   ##
=======================================
  Coverage   48.32%   48.32%           
=======================================
  Files          11       11           
  Lines         625      625           
=======================================
  Hits          302      302           
  Misses        323      323           

Continue to review full report at Codecov.

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pull-request-quantifier-deprecated[bot] commented 2 years ago

This PR has 6 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

``` Label : Extra Small Size : +3 -3 Percentile : 2.4% Total files changed: 2 Change summary by file extension: .lock : +2 -2 .toml : +1 -1 ``` > 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 detetcted. - 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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dependabot[bot] commented 2 years ago

Looks like edit is up-to-date now, so this is no longer needed.