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来自已弃坑的 Hydrogenlib,重拾起当初的决心

[!TIP] 这个项目来自 HydrogenLibObjective-Struct 模块,是一个脱离大项目的版本

同时,HydrogenLib中的 Objective-Struct 不再会更新

[!TIP] 作者的主要开发精力放在了另一些项目上,也许很长时间这个项目都不会再更新

OBStruct

一个简单、纯粹、极速的二进制解析库

亮点

  • 纯 Python
  • 基于类型注解的字段声明方式
  • 支持 struct 标准库中的所有格式,并额外支持 array 类型
  • 基于 AOT 的加速
  • 完整的操作支持(打包、解包、流式处理)

[!WARNING] 使用 array 类型时,建议不要传入 list 类型或其它 Python 序列, 可能会带来极大的性能影响

基准测试

系统环境

  • 12th Gen Intel® Core (TM) i7-12700H

在 12个字段,10000 次操作,8轮取平均值的条件下:

  • 打包:269.639ns 一次操作
  • 解包:582.185ns 一次操作

安装

pip install obstruct

如果使用 uv 等包管理器,则按照工具的方法安装即可

用法

首先声明一个 Struct 类型,它是一个 dataclass,也是一个 struct

import obstruct as obs
from dataclasses import dataclass


@dataclass()
class MyStruct(obs.Struct):
    a: int
    b: float
    c: obs.long
    d: obs.unsigned_short


if __name__ == '__main__':
    data = MyStruct(a=0, b=2.0, c=10000, d=14545)

    packed_data = data.pack()
    print(packed_data)

    restored = MyStruct.unpack(packed_data)
    print(restored)

    print(data == restored)

[!WARNING] 不要在 dataclass 装饰器中使用 slots=TrueStruct 元类已为类型添加了 __slots__

在上述示例中,你可能发现 data != restored,这是浮点数的精度限制导致的。 因此,我们不建议使用浮点数类型,浮点数在二进制传输中也不常见。

计划

  • 展平装饰器,目前的 API 较为繁琐,需要简化为唯一的 Struct 基类
  • 继续优化性能
  • 通过存根文件强制表明类型似乎变得不再有效了
  • 支持 Tag 联合类型,对标 msgspec

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