p-society / gc-server

Stay updated in real-time and engage with the thrill of the game like never before.[WIP]
Apache License 2.0
3 stars 6 forks source link

flutter projects created #24

Closed Divyakumar21202 closed 6 months ago

Divyakumar21202 commented 6 months ago

Creates Flutter Projects for Users and Admins

pull-request-quantifier-deprecated[bot] commented 6 months ago

This PR has 7798 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

``` Label : Extra Large Size : +7798 -0 Percentile : 100% Total files changed: 184 Change summary by file extension: .gitignore : +206 -0 .metadata : +80 -0 .md : +26 -0 .yaml : +202 -0 .gradle : +134 -0 .xml : +226 -0 .kt : +6 -0 .properties : +16 -0 .plist : +278 -0 .xcconfig : +48 -0 .pbxproj : +2200 -0 .xcworkspacedata : +42 -0 .xcsettings : +32 -0 .xcscheme : +392 -0 .swift : +78 -0 .json : +330 -0 .storyboard : +126 -0 .h : +210 -0 .dart : +128 -0 .txt : +836 -0 .cc : +154 -0 .cmake : +72 -0 .xib : +686 -0 .entitlements : +40 -0 .lock : +424 -0 .html : +88 -0 .rc : +138 -0 .cpp : +560 -0 .manifest : +40 -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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