tdesign-blazor / TDesignBlazor

基于腾讯 TDesign 的 Blazor 组件库
http://tblazor.com
MIT License
176 stars 21 forks source link

fix: 修复 Popup 组件右箭头显示错误 #210

Closed teacher-zhou closed 1 year ago

teacher-zhou commented 1 year ago

本次提交包含什么范围

参考 https://www.conventionalcommits.org/zh-hans/v1.0.0/

关联的 ISSUE 编号(一行一个)

Closing #183

github-actions[bot] commented 1 year ago

Unit Test Results

:green_circle:  Tests Passed      |      :stopwatch: 3.2s

:memo: Total :heavy_check_mark: Passed :x: Failed :warning: Skipped
93 93 0 0


:pencil2: updated for commit e7f8f575

github-actions[bot] commented 1 year ago

查看测试结果 https://github.com/AchievedOwner/TDesignBlazor/runs/10301713458

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

This PR has 109 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

``` Label : Medium Size : +57 -52 Percentile : 41.8% Total files changed: 7 Change summary by file extension: .yml : +13 -8 .cs : +35 -33 .js : +9 -11 ``` > 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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github-actions[bot] commented 1 year ago

查看测试结果 https://github.com/AchievedOwner/TDesignBlazor/runs/10301752741