dgiot / iotStudio

dgiotεΉ³ε°θ‘ŒδΈšεΊ”η”¨ζ‰©ε±•ζ’δ»Ά dgiot for application plugin
https://dgiot-dashboard.vercel.app/
Mozilla Public License 2.0
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chore(deps-dev): bump prettier from 2.4.1 to 2.8.0 #638

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 2 years ago

Bumps prettier from 2.4.1 to 2.8.0.

Release notes

Sourced from prettier's releases.

2.8.0

diff

πŸ”— Release note

2.7.1

πŸ”— Changelog

2.7.0

diff

πŸ”— Release note

2.6.2

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2.6.1

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2.6.0

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2.5.1

πŸ”— Changelog

2.5.0

diff

πŸ”— Release note

Changelog

Sourced from prettier's changelog.

2.8.0

diff

πŸ”— Release Notes

2.7.1

diff

Keep useful empty lines in description (#13013 by @​chimurai)

# Input
"""
First line

Second Line """ type Person { name: String }

Prettier 2.7.0

""" First line Second Line """ type Person { name: String }

Prettier 2.7.1

""" First line

Second Line """ type Person { name: String }

2.7.0

diff

πŸ”— Release Notes

... (truncated)

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Maintainer changes

This version was pushed to npm by prettier-bot, a new releaser for prettier since your current version.


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

This PR has 2 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 : +1 -1 Percentile : 0.8% Total files changed: 1 Change summary by file extension: .json : +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 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.


Was this comment helpful? :thumbsup:  :ok_hand:  :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.

dependabot[bot] commented 1 year ago

Superseded by #642.