# Python C Extensions Example
> 用于介绍一个 `python C extension` 的示例，用于熟悉其中流程，并了解其与 `poetry c extension` 中的区别和各自优势。
>
## 前言
**编写日期：** *2023/03/23*
本项目就是使用 `setuptools` 来实现 `python c extension` 的示例，并通过 `cibuildwheel` 来进行 `linux`，`windows` 和 `macos` 全平台打包和发包的演示。
据 `2022` 年的统计可知，目前比较流行的 `Python` 包管理工具为 `setuptools`，`poetry` 和 `conda`，当然还有 `flit` 等其它工具。我比较常用 `setuptools` 和 `poetry`，`poetry` 在易用性上比较有优势，其理念也比较符合 `python` 未来的趋势，其使用 `pyproject.toml` 文件，以一个文件来统一管理项目的所有信息，从而提高项目的可维护性和可读性。但是很多工具的官方文档中都或多或少不太建议优先在 `pyproject.toml` 中配置，还有在含有 `c extension` 的情况下 `poetry` 和其它第三方包管理器就无法快速且优雅地实现，比如 `poetry` 官方文档现在还没有 `python c extension` 的示例，不过在其 `ISSUES` 中提到会尽快支持。
所以，本项目就以 `setuptools` 来实现标准的包管理的一个示例。
## 前提准备
`windows`，`linux` 或 `macos` 上配置 `make` 工具。
## 项目说明
本项目就是一个使用 `setuptools` 实现的 `Python C Extensions` 的示例，调用了 `c` 中的 `fprintf` 方法：将格式化的数据输出到指定的文件中。具体如何使用此库，在测试文件中已经列举了详细的使用方法。可以通过 `make test` 测试，或者手动安装本库后运行示例中的方法。
也用于介绍项目工程化的一个简单示例，一些 `github workflow`，代码检测，格式化和测试覆盖率等工具的使用。
## 运行说明
- 直接使用 `make build_dist` 即可运行打包，安装 `wheel` 并跑通测试。
- 当然也可以单独使用指令，比如：
- **make clean:** 卸载本库，并清理测试文件，打包文件等。
- **make test:** 跑测试。
- 其它命令，比如 `make install`, `make build` 不再说明。
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