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planetarium / libplanet-explorer-frontend

Libplanet Explorer Frontend
https://explorer.libplanet.io/
MIT License
16 stars 27 forks source link

Bump graphql from 16.6.0 to 16.8.1 #208

Open dependabot[bot] opened 1 year ago

dependabot[bot] commented 1 year ago

Bumps graphql from 16.6.0 to 16.8.1.

Release notes

Sourced from graphql's releases.

v16.8.1 (2023-09-19)

Bug Fix 🐞

Committers: 1

v16.8.0 (2023-08-14)

New Feature 🚀

Committers: 1

v16.7.1 (2023-06-22)

:loudspeaker: Big shout out to @​phryneas, who managed to reproduce this issue and come up with this fix.

Bug Fix 🐞

Committers: 1

v16.7.0 (2023-06-21)

New Feature 🚀

Bug Fix 🐞

Committers: 3

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pull-request-quantifier-deprecated[bot] commented 1 year 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: 2 Change summary by file extension: .json : +1 -1 .lock : +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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