Merge branch 'dev'

发布 0.5.0 版本
0.4.3 版本合并
2026-05-07 19:48:25 +08:00 · 2025-12-21 23:44:28 +08:00 · 2025-12-21 06:49:38 +08:00 · 2025-12-21 03:03:06 +08:00
52 changed files with 579 additions and 851 deletions
@@ -1,10 +1,6 @@
 # 贡献指南与二次开发

-欢迎支持此项目!
-
-目前, 项目仓库主服务器为<a href="https://git.pluv27.top/pluv/HeurAMS" target="_blank" rel="noopener noreferrer">作者的 Gitea 实例</a>, 它负责管理同步, 保证可用性并同时接受来自多个社区的协作, 并在 <a href="https://github.com/pluvium27/HeurAMS" target="_blank" rel="noopener noreferrer">GitHub</a>, <a href="https://invent.kde.org/pluv/HeurAMS" target="_blank" rel="noopener noreferrer">KDE Invent</a> 和 <a href="https://gitee.com/pluv/HeurAMS" target="_blank" rel="noopener noreferrer">Gitee</a> 设置了镜像同步.  
-
-这丝毫不影响项目接受来自 <a href="https://github.com/pluvium27/HeurAMS" target="_blank" rel="noopener noreferrer">GitHub</a>, <a href="https://invent.kde.org/pluv/HeurAMS" target="_blank" rel="noopener noreferrer">KDE Invent</a> 和 <a href="https://gitee.com/pluv/HeurAMS" target="_blank" rel="noopener noreferrer">Gitee</a> 的 PR, 在 GitHub, KDE Invent 和 Gitee 所接受的 PR 会保留贡献者标识并按原样同步回所有平台, 欢迎在任意平台为项目做出贡献.  
+欢迎为此项目做出贡献!

 > [!NOTE]
 > 我们已经开始着手于基于 KDE 用户界面框架 `Kirigami` 的现代跨平台前端开发, 称作 "KiriMemo", 包名是 "org.kde.kirimemo", 但其并非 KDE 项目\
@@ -15,10 +11,10 @@

 分支划分:

- `dev` 分支(仓库默认分支): 主线开发分支, 自身仅用于非重构的问题修复和整合功能分支, 拉取请求在该分支合并
- `master` 分支: 主线稳定版本, 仅当稳定版本释出或修补版本时将 `dev` 合并到 `master` 上
- 功能与重构分支: 从 `dev` 分支创建, 命名格式为 `feature/描述` 或 `fix/描述` 或 `refactor/描述` 或 `next/版本号`
- 功能与重构分支应先合并至 `dev`, 再合并至 `master`
+- `main` 分支: 稳定版本, 仅当稳定版本释出或修补版本时将 `dev` 合并到 `main` 上
+- `dev` 分支: 主线开发版本, 自身仅用于非重构的问题修复和整合功能分支
+- 功能与重构分支: 从 `dev` 分支创建, 命名格式为 `feature/描述` 或 `fix/描述` 或 `refactor/v版本号`
+- 功能与重构分支应先合并至 `dev`, 再合并至 `main`

 代码格式化:

@@ -42,7 +38,7 @@
  mdformat --number .
  ```
 - 对于 Textual CSS, 可以使用 `prettier` 格式化
- 格式化不是必需的, 可以整合入一次 `style` 提交, 但 `master` 和 `dev` 分支上的代码应尽量整洁, 以便合并时审查
+- 格式化不是必需的, 可以整合入一次 `style` 提交, 但 `main` 和 `dev` 分支上的代码应尽量整洁, 以便合并时审查

 提交消息:

@@ -54,16 +50,12 @@
 - 为了一致性和可追溯性, 项目自 v0.4.0 重构后重新初始化仓库起就禁止使用 Fast-forward 合并
 - 可以设置 `git config merge.ff false`

-提交署名方式:  
-由于 KDE Invent 设施的奇怪 git hook, commit 的 Author 字段需要看起来像个真名(例如 Wang Zhiyu 不能写为 wangzhiyu, 否则 KDE Invent 的 hook 会拒绝 push),  
-所以请确保您的 git 配置使用了类似正式姓名的格式 (例如 git config user.name "Li Hua", 也即中间需要空格), 不一定要真实姓名, 邮箱无要求, 也可以将单名重复使用两次 (例如 Thura Thura) 以通过检测.
-
 ## 设置开发环境

 ```bash
-git clone https://git.pluv27.top/pluv/HeurAMS # 默认分支为 dev, 所以不必切换分支
-
+git clone https://git.pluv27.top/pluv/HeurAMS
 cd HeurAMS
+git checkout dev

 # 如果决定使用 uv (推荐)

@@ -71,7 +63,9 @@ python3 -m pip install uv

 uv sync --all-extras # 同步开发运行环境

-uv run heurams
+uv run heurams # 验证包安装
+
+uv run heurams-tui # 启动 TUI

 # 如果决定使用原生 python 环境 (不推荐, 但我们保留了这种方式以便在不便支持 uv 与硬链接的环境和文件系统(例如 termux)上运行)

@@ -33,8 +33,6 @@

 ## 黑乎乎的这个界面我怎么用?

-首先, 如果您只是想要一个亮色模式, 可以直接按下 `d` 键或点击 "d 主题" 按钮, 这会让您的界面变得白乎乎的(  
-
 得益于微软几十年对用户进行的"命令行即落后"教育, 以及 `conhost.exe` 和 `cmd.exe` 的糟糕体验, 您对终端用户界面感到不适应是完全正常的.

 但实际上, 虽然看起来像老式电脑屏幕, Textual 和终端标准其实比您想象得要现代一些.
@@ -85,11 +83,9 @@ python -m heurams.interface

 您的学习进度会自动保存, 不会丢失.

-## 图片像素很大, 模糊得像马赛克一样怎么办?
+## 我看不到图片怎么办?

-这说明图像以 Halfcell 兼容模式显示  
-
-终端模拟器需要支持 sixel 图像协议才能高清地显示图片, 对于不支持的图片, 软件只能以低清的兼容模式显示.
+终端模拟器需要支持 sixel 图像协议才能显示图片.

 - WezTerm (适用于几乎所有操作系统): 支持
 - KDE Konsole: 支持
@@ -1,84 +0,0 @@
-## 特性
-
-### 间隔重复调度器
-
-> 许多出版物都广泛讨论了不同重复间隔对学习效果的影响. 特别是, 间隔效应被认为是一种普遍现象. 间隔效应是指, 如果重复的间隔是分散/稀疏的, 而不是集中重复, 那么学习任务的表现会更好. 因此, 有观点提出, 学习中使用的最佳重复间隔是**最长的, 但不会导致遗忘的间隔**.
-
- 软件开箱即用, 无需多加配置即可使用默认的 `SM-2` 算法进行学习
- 算法模块是 "潜进" 内核 (heurams.kernel) 中的一等公民, 内核天然支持插拔各型算法
- 无需安装繁杂的插件即可分单元集完成算法快速切换与调优, 研究者可以方便地修改算法模块以便捷地进行研究与测试
- 默认使用 `SM-2` 简单间隔重复算法, 此算法亦用作 `Anki` 闪卡记忆软件的默认闪卡调度器
- 还内置了 `NSP-0` 筛选用非间隔重复算法以便快速筛选记忆内容, `FSRS` 先进间隔重复算法作为效率更高的调度器, 与 `SM-15M (移植自 sm.js 项目)` 复杂间隔重复算法(逆向工程)
- 算法模块可以标记记忆项目, 也可以动态规划每个记忆单元的记忆间隔时间表, 动态跟踪记忆反馈数据, 以优化长期记忆保留率与稳定性
- 得益于项目的模块化架构与单元集结构设计, 同一个单元集可以与任意种算法共存并互通, 这对研究者及想探索/实验高效率方法的用户极其友好
-
-### 多模态学习进程
-
-与 Anki 的 SQLite `.apkg` 包不同, 我们坚持使用人类可读的文件夹组织单元集, 这带来了若干好处, 包括:
-
- 人类可读: 您可以用任意工具, 乃至一个记事本自由修改记忆载荷数据而无需打开软件
- 元数据配置: 配置自由度极高, 可以任意组合, 重造, 乃至创造新内容
- 测验, 算法与知识互相隔离: 一条知识不再是单一的闪卡, 不仅可以用若干不同的算法规划, 还可以用多种并行的谜题类型测验, 极大地提升学习效果和丰富度. 作为学习者, 您无需担忧概念复杂--仅需从云端下载单元集即可开箱即用上述特性!
- 多模态学习
-  - 软件自身集成了文本转语音 (TTS) , 音频与语言模型 (LLM) 模块, 这些功能乃至功能本身都是可插拔, 可扩展, 可切换驱动的, 这为内容创建了极大的丰富度
-  - 软件内置多种谜题类型, 包括选择题 (MCQ), 填空题 (Cloze) 与识别题 (Recognition), 您可在同一单元应用多种, 或是选择性启用
-  - 软件天然支持动态内容生成, 支持宏驱动的模板系统, 根据上下文乃至语言模型动态生成知识点的解析
-  - 在间隔重复研究尚被 SuperMemo 系列独占的时代, Wozniak 就早已表示 "如果不能理解知识, 就无需记忆它". 今天, 我们依然相信理解是记忆的基石
- 云同步与分享优化:
-  - 由于记忆数据和单元集文件都是文本文件, 故可进行快速的增量同步而无需完整地上传所有文件, 并且设计天然支持版本控制
-  - 如果您想分享单文件, 软件也支持导出为压缩包或合并成单文本文件以通过纯文本文件形式在 pastebin 等平台分享
- 性能提升: 得益于现代且支持分块的文件组织结构, 潜进能在保持高自由度的同时仅使用 python 就能达到敏捷且低占用的用户体验
- AI 辅助友好: 想象您有一些 `.apkg` 牌组或一大段教材内容, 您可以方便且高效率地使用 AI 工具以创建可在 HeurAMS 使用的单元集
-
-### 内置实用用户界面
-
-尽管不是唯一前端, 但响应式 Textual 框架构建的内置终端用户界面在多种场景下仍具有独特优势:
-
- 跨平台, 并支持触屏/鼠标/键盘多操作模式
- 与几乎所有现代终端模拟器相容
- 对于<a href="https://www.arewesixelyet.com/" target="_blank" rel="noopener noreferrer">支持 sixel 协议的终端模拟器</a>, 可高清显示图像内容
- 对于不支持 sixel 协议的终端模拟器, 也支持图片低清的兼容显示模式
- 可通过 textual-web 作为服务部署, 并在任意浏览器使用
- 简洁直观, 键盘友好, 全功能且高效率的用户界面设计
- 易于嵌入: 可在 getty/kmscon 中运行而无需任何桌面图形服务
- 资源占用小, 运行流畅, 不拖泥带水
- 便于测试与调试程序库
-
-查看[屏幕截图](SCREENSHOTS.md).
-
-
-## 包依赖组说明
-
-由于部分依赖只被少数功能需要, 所以我们把可选依赖分得比较细, 前面提供的命令会安装部分可选依赖, 以下是依赖组列表:
-
-| 依赖组 | 包含模块 | 说明 |
-|--------|----------|------|
-| 构建系统 | hatchling | 构建时安装 |
-| 最小化安装 | tabulate, toml, transitions, click | 核心驱动程序库, 始终必需 |
-| interface | textual | 基本用户界面依赖 |
-| algo-fsrs | fsrs | FSRS 算法模块 |
-| tts-edgetts | edge-tts | 微软文本转语音 |
-| llm | llms-py | API 调用 |
-| audio-playsound | playsound3 | 通用音频模块 |
-| dev | zmq, pytest, pytest-cov | 开发调试与测试工具 |
-| basic | [tts-edgetts], [llm], [algo-fsrs] | 适用于用户体验的较轻依赖组(推荐) |
-| all | 以上所有依赖 | 完整安装组 |
-
-## 关于此仓库
-
-此仓库为 "潜进" 的核心程序库在 python 语言下的实现\
-包含数据模型与框架, 并内置了基于 textual 框架的前端实现 (interface 子模块)\
-除了通过内置前端进行学习外, 开发者也能在 python 环境中导入 `heurams` 库或使用 `RPC` 与 `heurams` 程序库实例通讯, 使用框架构建其他辅助记忆功能前端或其他应用程序
-
-潜进项目的所有仓库如下:
-
-| 项目名称 | 状态 | 说明 | 包名 | 技术栈 | 目标平台 |
-| :--- | :--- | :--- | :--- | :--- | :--- |
-| HeurAMS | 开发中<br/>原型可用 | 提供通用核心程序库与基本用户界面 | `heurams` | Python | 标准 Python 环境 |
-| KiriMemo | 开发中<br/>原型可用 | 基于 KDE 技术的现代跨平台前端 | `org.kde.kirimemo` | C++, Qt6, Kirigami, PyOtherSide | 桌面与移动设备 |
-| ArkMemo | 开发中 | 基于 ArkUI 的现代跨平台前端 | `top.pluv27.arkmemo` | ArkTS, ArkUI | 移动设备 |
-| HeurStudio | 计划中 | AI 辅助的单体单元集高级创建与编辑工具 | `top.pluv27.heurstudio` | C++, Qt6, Kirigami, PyOtherSide | 桌面 |
-| HeurSync | 开发中 | 用户数据同步服务器<br/>集成 Web 前端与排行榜 | `heursync` | Go, SQL | 网页与服务器 |
-| HeurRepo | 开发中 | 单元集文档源服务器<br/>与单元集分享平台 | `heurrepo` | Go, SQL | 网页与服务器 |
-
-尽管现在后三样有点画大饼的意思, 但是我们的路线是明了的  
@@ -2,94 +2,123 @@

 ## 概述

-"潜进" (HeurAMS: Heuristic Auxiliary Memorizing Scheduler, 启发式记忆辅助调度器) 是一种基于启发式算法与认知科学理论的辅助记忆调度器, 旨在帮助用户更高效地进行记忆工作与学习规划,  
-也是一种开放, 优雅, 易于扩展的间隔重复调度器实验平台, 旨在帮助研究者更高效地进行前沿记忆算法的调查实验与研究.  
+"潜进" (HeurAMS: Heuristic Auxiliary Memorizing Scheduler, 启发式记忆辅助调度器) 是一种基于启发式算法与认知科学理论的辅助记忆调度器, 旨在帮助用户更高效地进行记忆工作与学习规划,\
+也是一种开放, 优雅, 易于扩展的间隔重复调度器实验平台, 旨在帮助研究者更高效地进行前沿记忆算法的研究.

-[详细介绍](INTRODUCTION.md) [屏幕截图](SCREENSHOTS.md)
+## 关于此仓库

-<p align="left">
-<a href="https://github.com/pluvium27/HeurAMS" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/GitHub-fafafa?style=for-the-badge&logo=github&logoColor=181717" alt="GitHub" /></a><a href="https://invent.kde.org/pluv/HeurAMS" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/KDE_Invent-1D99F3?style=for-the-badge&logo=kde&logoColor=white" alt="KDE Invent" /></a><a href="https://gitee.com/pluv/HeurAMS" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/Gitee-C71D23?style=for-the-badge&logo=gitee&logoColor=white" alt="Gitee" /></a><a href="https://git.pluv27.top/pluv/HeurAMS" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/git.pluv27.top-609926?style=for-the-badge&logo=gitea&logoColor=white" alt="git.pluv27.top" /></a>
-</p>
+此仓库为 "潜进" 的核心程序库在 python 语言下的实现\
+包含数据模型与框架, 并内置了基于 textual 框架的前端实现 (interface 子模块)\
+除了通过内置前端进行学习外, 开发者也能在 python 环境中导入 `heurams` 库或使用 `RPC` 与 `heurams` 程序库实例通讯, 使用框架构建其他辅助记忆功能前端或其他应用程序
+
+> [!NOTE]
+> 我们已经着手于基于 KDE 用户界面框架 `Kirigami` 的现代跨平台前端开发, 称作 "KiriMemo", 包名是 "org.kde.kirimemo", 但其并非 KDE 项目\
+> 它通过 `PyOtherSide` 直接复用 python 内核, 为 Windows, Linux, macOS, Android, iOS 和 Plasma Mobile 提供现代用户界面\
+> 如果您善于开发 C++, QML, Qt 与 KDE 框架, 欢迎加入到 KiriMemo 项目的开发
+
+## 特性
+
+### 间隔重复调度器
+
+> 许多出版物都广泛讨论了不同重复间隔对学习效果的影响. 特别是, 间隔效应被认为是一种普遍现象. 间隔效应是指, 如果重复的间隔是分散/稀疏的, 而不是集中重复, 那么学习任务的表现会更好. 因此, 有观点提出, 学习中使用的最佳重复间隔是**最长的, 但不会导致遗忘的间隔**.
+
+- 软件开箱即用, 无需多加配置即可使用默认的 `SM-2` 算法进行学习
+- 此外, 算法模块是 "潜进" 内核 (heurams.kernel) 中的一等公民, 内核天然支持插拔各型算法
+- 无需安装繁杂的插件即可分单元集完成算法快速切换与调优, 研究者可以方便地修改算法模块以便捷地进行研究与测试
+- 默认使用 `SM-2` 简单间隔重复算法, 此算法亦用作 `Anki` 闪卡记忆软件的默认闪卡调度器
+- 内置 `NSP-0` 筛选用非间隔重复算法以便快速筛选记忆内容, `FSRS` 先进间隔重复算法作为效率更高的调度器, 与 `SM-15M (移植自 sm.js 项目)` 复杂间隔重复算法(逆向工程)
+- 算法模块可以标记记忆项目, 也可以动态规划每个记忆单元的记忆间隔时间表, 动态跟踪记忆反馈数据, 以优化长期记忆保留率与稳定性
+- 得益于项目的模块化架构与单元集结构设计, 一个项目甚至可以与任意种算法共存并互通, 这对研究者及想探索/实验高效率方法的用户极其友好
+
+### 多模态学习进程
+
+与 Anki 的 SQLite `.apkg` 包不同, 我们坚持使用人类可读的文件夹组织单元集, 这带来了若干好处, 包括:
+
+- 人类可读: 您可以用任意工具, 乃至一个记事本自由修改记忆载荷数据而无需打开软件
+- 元数据配置: 配置自由度极高, 可以任意组合, 重造, 乃至创造新内容
+- 测验, 算法与知识互相隔离: 一条知识不再是单一的闪卡, 不仅可以用若干不同的算法规划, 还可以用多种并行的谜题类型测验, 极大地提升学习效果和丰富度. 作为学习者, 您无需担忧概念复杂--仅需从云端下载单元集即可开箱即用上述特性!
+- 多模态学习
+  - 软件自身集成了文本转语音 (TTS) , 音频与语言模型 (LLM) 模块, 这些功能乃至功能本身都是可插拔, 可扩展, 可切换驱动的, 这为内容创建了极大的丰富度
+  - 软件内置多种谜题类型, 包括选择题 (MCQ), 填空题 (Cloze) 与识别题 (Recognition), 您可在同一单元应用多种, 或是选择性启用
+  - 软件天然支持动态内容生成, 支持宏驱动的模板系统, 根据上下文乃至语言模型动态生成知识点的解析
+  - 在间隔重复研究尚被 SuperMemo 系列独占的时代, Wozniak 就早已表示 "如果不能理解知识, 就无需记忆它". 今天, 我们依然相信理解是记忆的基石
+- 云同步与分享优化:
+  - 由于记忆数据和单元集文件都是文本文件, 故可进行快速的增量同步而无需完整地上传所有文件, 并且设计天然支持版本控制
+  - 如果您想分享单文件, 软件也支持导出为压缩包或合并成单文本文件以通过纯文本文件形式在 pastebin 等平台分享
+- 性能提升: 得益于现代且支持分块的文件组织结构, 潜进能在保持高自由度的同时仅使用 python 就能达到敏捷且低占用的用户体验
+- AI 辅助友好: 想象您有一些 .apkg 牌组或一大段教材内容, 您可以方便且高效率地使用 AI 工具创建可在 HeurAMS 使用的单元集
+
+### 内置实用用户界面
+
+尽管不是唯一前端, 但响应式 Textual 框架构建的内置终端用户界面在多种场景下仍具有独特优势:
+
+- 跨平台, 并支持触屏/鼠标/键盘多操作模式
+- 与几乎所有现代终端模拟器相容
+- 对于<a href="https://www.arewesixelyet.com/" target="_blank" rel="noopener noreferrer">支持 sixel 协议的终端模拟器</a>, 可显示图像内容
+- 可通过 textual-web 作为服务部署, 并在任意浏览器使用
+- 简洁直观, 键盘友好, 全功能且高效率的用户界面设计
+- 易于嵌入: 可在 getty/kmscon 中运行而无需任何桌面图形服务
+- 资源占用小, 运行流畅, 不拖泥带水
+- 便于测试与调试程序库
+
+[查看屏幕截图](SCREENSHOTS.md)

 ## 快速开始

-### 安装软件
+### 从包管理器安装

-#### 从包管理器安装
+潜进 (包名是 `heurams`) 处于早期开发考虑, 尚未上架 PyPI, 但您可以用我们的基础设施安装稳定版和开发版本.

-潜进 (包名是 `heurams`) 处于早期开发考虑, 尚未上架 PyPI.  
-但可以用 pip 从仓库安装稳定版和开发版本, 这要求设备上安装了 python 环境 (建议 3.12.13 及之后版本).
+#### 稳定版本

-从稳定的 `master` 分支安装, 并安装适用于用户体验的可选依赖(推荐):
+安装适用于用户体验的可选依赖(推荐):

 ```
-pip install --upgrade 'heurams[basic] @ https://git.pluv27.top/pluv/HeurAMS/archive/master.zip'
+python -m pip install heurams[basic] -i https://pypi.pluv27.top/root/stable/+simple/
 ```

-从较前沿, 大致稳定的 `dev` 分支安装, 并安装适用于用户体验的可选依赖(如果您追求较前沿的改进):
-
-```
-pip install --force-reinstall --no-deps 'heurams[basic] @ https://git.pluv27.top/pluv/HeurAMS/archive/dev.zip'
-```
-
-安装适用于一般计算机的通用音频模块 (基于 playsound3):\
+安装适用于一般计算机的通用音频模块(基于 playsound3):\
 (此项不适用于 termux 环境, termux 的音频支持是内建的)

 ```
-pip install --upgrade 'heurams[audio-playsound] @ https://git.pluv27.top/pluv/HeurAMS/archive/master.zip'
+python -m pip install heurams[audio-playsound] -i https://pypi.pluv27.top/root/stable/+simple/ 
 ```

-> 您也可以从 `refactor/...` 等特定分支安装以测试某项更改
+#### 开发版本

-[依赖分组说明](INTRODUCTION.md#包依赖组说明)
+> [!CAUTION]
+> 对于部分 Linux 发行版和 Android Termux 用户:\
+> 您需要先行安装 `cmake` 和 `libzmq` 才能正确安装项目的 `zmq` 依赖.\
+> 例如在 termux 上先运行 `pkg install cmake clang libzmq`.\
+> 项目功能本身不依赖它, 但需要该依赖用于启动可选的调试服务器.

-#### 从源码安装
-
-我们提供原生 python 和 uv 两种源码安装方式.\
-详见[贡献指南 - 设置开发环境](CONTRIBUTING.md#设置开发环境).
-
-### 使用软件
-
-在终端中运行 `heurams`, 您会看到一系列帮助信息, 例如:
-
-```plain
-~ $ heurams
-Usage: heurams [OPTIONS] COMMAND [ARGS]...
-
-  HeurAMS 0.5.1 - 启发式辅助记忆调度器
-
-Options:
-  -v, --version  Show the version and exit.
-  -h, --help     Show this message and exit.
-
-Commands:
-  help     显示此帮助信息
-  tui      启动内置基本用户界面 (TUI)
-  version  输出版本信息
-```
-
-可以通过键入 `heurams tui` 启动基本用户界面, 例如:
-
-```plain
-~ $ heurams tui
-欢迎使用基本用户界面!
-加载配置与上下文... 已完成! (耗时: 33ms)
-加载用户界面框架... 已完成! (耗时: 169ms)
-加载用户界面布局... 已完成! (耗时: 165ms)
-组件目录: <软件包所在目录>
-工作目录: <运行目录, 将在此目录下建立 ./data 文件夹>
-前置工作共计耗时: 142ms
-
-(此时您的终端将转为呈现美观的 TUI 基本用户界面)
-```
-
-通过键入 `heurams -v` 查看版本:
+安装全部可选依赖(推荐):

 ```
-~ $ heurams -v
-HeurAMS 0.5.1 stable (fulcrum/支点), Linux
+python -m pip install heurams[all] -i https://pypi.pluv27.top/root/dev/+simple/
 ```

+#### 依赖组说明
+
+由于部分依赖只被少数功能需要, 所以我们把可选依赖分得比较细, 前面提供的命令会安装部分可选依赖, 以下是依赖组列表:
+
+| 依赖组 | 包含模块 | 说明 |
+|--------|----------|------|
+| 最小化安装 | tabulate, toml, transitions | 核心驱动程序库, 始终必需 |
+| interface | textual, psutil | 基本用户界面依赖 |
+| algo-fsrs | fsrs | FSRS 算法模块 |
+| tts-edgetts | edge-tts | 微软文本转语音 |
+| llm | openai | OpenAI 式 API 调用 |
+| audio-playsound | playsound3 | 通用音频模块 |
+| dev | zmq, pytest, pytest-cov | 开发调试与测试工具 |
+| basic | [tts-edgetts], [llm-openai], [algo-fsrs] | 适用于用户体验的较轻依赖组(推荐) |
+| all | 以上所有依赖 | 完整安装组 |
+
+### 从源码安装
+
+我们提供原生 python 和 uv 两种安装方式.\
+详见[贡献指南](CONTRIBUTING.md).
+
 ## 常见问题 (FAQ)

 详见[常见问题](FAQ.md).
@@ -106,35 +135,33 @@ HeurAMS 0.5.1 stable (fulcrum/支点), Linux

 ## 项目标识

-HeurAMS 项目标识如下, 文件(位图和矢量图)位于 `./src/heurams/assets/art/` 目录.
+HeurAMS 项目标识如下, 矢量图文件位于 `./src/heurams/assets/art/` 目录.

-<img src="src/heurams/assets/art/banner128-light.png" height="96px" title="位图横幅(不透明)">
 <div style="display: flex; flex-wrap: wrap; gap: 5px;">
-  <img src="src/heurams/assets/art/logo.svg" height="96px" title="矢量图标">
-  <img src="src/heurams/assets/art/logo-mono-light.svg" height="96px" title="单色明亮矢量图标">
-  <img src="src/heurams/assets/art/logo-mono-dark.svg" height="96px" title="单色暗色矢量图标">
+  <img src="src/heurams/assets/art/logo.svg" height="96px">
+  <img src="src/heurams/assets/art/logo-mono-light.svg" height="96px">
+  <img src="src/heurams/assets/art/logo-mono-dark.svg" height="96px">
 </div>

-颜色分别是: `#1660A5 (海蓝色)` `#545F70 (蓝灰色)` `#FFFFFF (单色明亮图标白色)` `#1A1A1A (单色暗色图标深黑色)` `#2f2f35 (文字颜色)`.
-
+颜色分别是: `#1660A5 (海蓝色)` `#545F70 (蓝灰色)` `#1A1A1A (暗色单色图标深黑色)` `#FFFFFF (明亮单色图标白色)`.

 ## 许可证

 ### 项目本身

-本项目基于 AGPL-3.0 许可证开放源代码, 并有一个豁免本机 API 调用的附加条款, 较标准 AGPL-3.0 更宽松.
+本项目基于 AGPL-3.0 许可证开放源代码, 并有一个豁免本机 API 调用的附加条款, 较标准 AGPL-3.0 更松.

 详见根目录下 [LICENSE](LICENSE) 文件.

 ### 第三方代码

-项目在 `src/heurams/vendor/` 目录下嵌入或在其他位置直接使用了以下第三方代码或其衍生作品 (可能有修改):
+项目在 `src/heurams/vendor/` 目录下嵌入或在其他位置间接使用了以下第三方代码(可能有修改):

-#### SM.js
+#### SM.js (slaypni)

- 上游版本: commit `6e3bb4a` (2015年2月4日上游已停止维护)
+- 上游版本: commit `6e3bb4afaf484426deb4a9fa3bcffe42ac066b45` (2015年2月4日上游已停止维护)
 - 引用方式: 将 coffeescript 重写为 python 并间接引用, 数学原理一致; 并对重写后代码进行逻辑, 性能与标准化 API 改进
- 位置: `src/heurams/kernel/algorithms/sm15m.py`
+- 位置: `src/heurams/kernel/algorithms/sm15m*.py`
 - 原项目: [SM.js](https://github.com/slaypni/SM-15)
 - 原版权: Copyright (c) 2014 Kazuaki Tanida
 - 原许可证: MIT License
@@ -4,7 +4,6 @@

 - Textual 基本用户界面 (heurams.interface): 基于 Python Textual 框架构建的程序库内置跨平台 TUI 界面, 支持触屏、鼠标、键盘多操作模式, 是当前开箱即用的默认前端.
 - KiriMemo (org.kde.kirimemo): 基于 KDE Kirigami 框架的现代跨平台前端, 使用 C++ 和 QML 构建, 通过 `PyOtherSide` 直接复用 Python 内核, 为多种平台提供原生体验 (尚未稳定).
-<!--- ArkMemo (top.pluv27.arkmemo): 基于 ArkUI 的现代移动设备前端, 使用 ArkTS 构建, 通过 API 调用 Python 内核, 为 Android, HarmonyOS, iOS 平台提供原生体验 (尚未稳定)-->

 欢迎为现有前端贡献代码, 或开发您自己的前端.\
 详见[贡献指南](CONTRIBUTING.md#%E6%96%B0%E7%9A%84%E7%94%A8%E6%88%B7%E7%95%8C%E9%9D%A2%E5%89%8D%E7%AB%AF).
@@ -1,7 +1,7 @@
 [project]
 name = "heurams"
-version = "0.5.1"
-authors = [{ name = "Wang Zhiyu", email = "pluvium27@outlook.com" }]
+version = "0.5.0"
+authors = [{ name = "pluvium27", email = "pluvium27@outlook.com" }]
 description = "Heuristic Auxiliary Memory Scheduler"
 readme = "README.md"
 requires-python = ">=3.12"
@@ -13,7 +13,6 @@ license = "AGPL-3.0-or-later"
 license-files = ["LICENSE"]

 dependencies = [ # 这些依赖只能驱动 kernel 程序库
-    "click>=8.3.3",
    "tabulate>=0.10.0",
    "toml>=0.10.2",
    "transitions>=0.9.3",
@@ -22,15 +21,15 @@ dependencies = [ # 这些依赖只能驱动 kernel 程序库
 [project.optional-dependencies]
 interface = [ # 基本用户界面依赖
    "textual>=8.2.5",
+    "psutil>=7.2.2",
 ]
-
 algo-fsrs = [
    "fsrs>=6.3.1", # FSRS 算法底层依赖
 ]
 tts-edgetts = [
    "edge-tts>=7.2.8", # 微软 TTS
 ]
-llm = ["llms-py>=3.0.0"]
+llm = ["openai>=2.32.0"]
 audio-playsound = ["playsound3>=3.3.1"]
 dev = [ # 调试所需依赖
    "zmq>=0.0.0",        # 用于 ZMQ 远程调试服务器, 在 linux 上建议先安装 libzmq
@@ -44,15 +43,10 @@ all = [
    "heurams[audio-playsound]",
    "heurams[dev]",
 ]
-basic = [
-    "heurams[algo-fsrs]",
-    "heurams[interface]",
-    "heurams[tts-edgetts]",
-    "heurams[llm]",
-]
+basic = ["heurams[algo-fsrs]", "heurams[tts-edgetts]", "heurams[llm]"]

 [project.urls]
-Homepage = "https://ams.pluv27.top"
+Homepage = "https://ams.pluv.top"
 Issues = "https://github.com/heurams/heurams/issues"

 [[tool.uv.index]]
@@ -61,6 +55,7 @@ default = true

 [project.scripts]
 heurams = "heurams.__main__:main"
+heurams-tui = "heurams.interface.__main__:main"

 [tool.pytest.ini_options]
 testpaths = ["tests"]
@@ -72,5 +67,5 @@ markers = [
 ]

 [build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
+requires = ["uv_build>=0.7.19"]
+build-backend = "uv_build"
@@ -1,4 +1,4 @@
-#print("欢迎使用 HeurAMS 及其组件!")
+print("欢迎使用 HeurAMS 及其组件!")

 # 补充日志记录
 from heurams.services.logger import get_logger
@@ -1,63 +1,22 @@
-import platform
-
-import click
-from heurams.services.version import ver, stage, codename, codename_cn
-
-
-@click.group(
-    invoke_without_command=True,
-    help=(
-        f"HeurAMS {ver} - 启发式辅助记忆调度器"
-    ),
-    context_settings={"help_option_names": ["-h", "--help"]},
-)
-@click.version_option(
-    ver, "-v", "--version",
-    prog_name="HeurAMS",
-    message=f"%(prog)s %(version)s {stage} ({codename}/{codename_cn}), {platform.system()}",
-)
-@click.pass_context
-def cli(ctx):
-    if ctx.invoked_subcommand is None:
-        click.echo(cli.get_help(ctx))
-        ctx.exit(0)
-
-
-@cli.command()
-def tui():
-    """启动内置基本用户界面 (TUI)"""
-    import heurams.interface.__main__ as tui_module
-
-    tui_module.main()
-
-
-def _print_version():
-    click.echo(
-        f"HeurAMS {ver} ({codename}/{codename_cn}), 阶段: {stage}"
-    )
-
-
-@cli.command()
-def version():
-    """输出版本信息"""
-    _print_version()
-
-
-@cli.command(name="ver", hidden=True)
-def ver_cmd():
-    """输出版本信息"""
-    _print_version()
-
-
-@cli.command(name="help")
-@click.pass_context
-def help_cmd(ctx):
-    """显示此帮助信息"""
-    click.echo(cli.get_help(ctx.parent))
+import heurams.services.version as ver


+# __main__.py
 def main():
-    cli()
+    prompt = f"""HeurAMS {ver.ver} 已经被成功地安装在系统中.
+HeurAMS 被设计为一个带有辅助记忆调度器功能的软件包, 无法直接被执行, 但可被其他 Python 程序调用.
+若您想启动内置的基本用户界面:
+ 请运行 python -m heurams.interface,
+ 或者 python -m heurams.interface.__main__
+python 代指您使用的解释器, 在某些发行版中可能是 python3, 而 python 命令被指向了 python2.
+尽管项目保留了 requirements.txt, 我们仍不推荐使用系统 python 和原始 venv 进行开发.
+项目的推荐开发环境工具是 uv.
+如果你的环境已经安装了 uv:
+ 先运行 uv sync --all-extras 同步环境, 此命令只需要执行一遍, uv 会自动处理依赖.
+ 然后通过运行 uv run heurams-tui 启动内置基本用户界面.
+ 此时您的解释器在项目目录里的 .venv/bin 中, 使用 IDE 开发前, 务必切换解释器!
+注意: 一个常见的误区是, 执行 interface 下的 __main__.py 运行基本用户界面, 这会导致 Python 上下文环境异常, 请不要这样做."""
+    print(prompt)


 if __name__ == "__main__":
@@ -72,8 +72,9 @@ class HeurAMSApp(App):
    ) -> None:  # 用来给没使用/禁用的快捷键占位, 因为 Binding 删除不了
        pass

-'''
-    # 移除烦人的 "rich traceback", 但可能导致未定义行为出现, 所以注释掉
+    # 移除烦人的 "rich traceback"
+    # Textual 官方不会管这破事, 写 Rich 写入脑了导致的
+    # 不知道哪来的自信改标准库的 traceback
    # https://github.com/Textualize/textual/discussions/6255
    # NOTE: 进行 textual 版本升级时, 确保查看过上游代码, 尤其是 App 的 _exception
    # 如果行为变了就把下面的删了 (虽然有 fallback)
@@ -88,4 +89,3 @@ class HeurAMSApp(App):
            self._close_messages_no_wait()
            raise self._exception
        super().panic(*args)  # ditto
-'''
@@ -2,13 +2,13 @@ from heurams.interface import *
 from heurams.context import config_var
 from heurams.services.logger import get_logger
 import threading
+import zmq
 import pickle

 logger = get_logger(__name__)


 def start_debug_server(app):
-    import zmq
    logger = get_logger("zmq_debug")
    context = zmq.Context()
    socket = context.socket(zmq.REP)
@@ -4,12 +4,14 @@ from textual.app import ComposeResult
 from textual.containers import ScrollableContainer
 from textual.screen import Screen
 from textual.widgets import Button, Footer, Header, Label, Markdown
+
 from textual import events, on

 import heurams.services.version as version
 from heurams.context import *
 import platform
 import shutil
+import psutil
 import os
 import sys

@@ -38,12 +40,14 @@ class AboutScreen(Screen):
            )
        with ScrollableContainer(id="about_container"):
            yield Label("[b]关于与版本信息[/b]")
+
            # 获取系统信息
            textual_version = self._get_textual_version()
            terminal_info = self._get_terminal_info()
            python_version = self._get_python_version()
            os_version = self._get_os_version()
            disk_usage = self._get_disk_usage()
+            memory_info = self._get_memory_info()

            about_text = f"""
 # 关于 HeurAMS "潜进"  
@@ -63,13 +67,14 @@ API 版本代号: `{version.codename.capitalize()}`
 您正使用程序库内置的终端用户界面, 它是第一个全功能前端实现与程序库测试套件, 位于程序库的 interface 子目录.  

 开发人员列表:
+
 - Wang Zhiyu ([@pluvium27](https://github.com/pluvium27)): 项目发起与主要开发者  

 感谢以下人士与团体, 他们的算法与理论构成了此软件现有算法的基石:  

 - [Piotr A. Woźniak](https://supermemo.guru/wiki/Piotr_Wozniak): SM-2 算法与 SM-15 算法理论
- [Jarrett Ye](https://github.com/L-M-Sherlock): FSRS 算法与间隔重复理论文献参考
 - [Kazuaki Tanida](https://github.com/slaypni): SM-15 算法的 CoffeeScript 逆向实现
+- [Thoughts Memo](https://www.zhihu.com/people/L.M.Sherlock): 间隔重复文献参考
 - [Open Spaced Repetition](https://github.com/open-spaced-repetition): FSRS 算法底层实现

 # 运行环境信息
@@ -80,10 +85,12 @@ Textual 框架版本: {textual_version}
 终端模拟器: {terminal_info}  
 操作系统版本: {os_version}  
 存储余量: {disk_usage}  
+内存总量: {memory_info}  

 报告问题时, 请复制这些信息到问题描述, 并上传软件日志 `heurams.log` 作为附件, 以协助开发者定位错误  
 """
            yield Markdown(about_text, classes="about-markdown")
+
            yield Button(
                "返回主界面",
                id="back_button",
@@ -152,9 +159,20 @@ Textual 框架版本: {textual_version}

    def _get_disk_usage(self) -> str:
        """获取磁盘使用情况"""
-        usage = shutil.disk_usage("/")
-        free_gb = usage.free / (1024**3)
-        total_gb = usage.total / (1024**3)
-        percent_free = (free_gb / total_gb) * 100
-        #print(f"{free_gb:.1f} GB ({percent_free:.1f}%)")
-        return f"{free_gb:.1f} GB ({percent_free:.1f}%)"
+        try:
+            usage = psutil.disk_usage("/")
+            free_gb = usage.free / (1024**3)
+            total_gb = usage.total / (1024**3)
+            percent_free = (free_gb / total_gb) * 100
+            return f"{free_gb:.1f} GB ({percent_free:.1f}%)"
+        except Exception:
+            return "未知"
+
+    def _get_memory_info(self) -> str:
+        """获取内存信息"""
+        try:
+            memory = psutil.virtual_memory()
+            total_gb = memory.total / (1024**3)
+            return f"{total_gb:.1f} GB"
+        except Exception:
+            return "未知"
@@ -128,7 +128,7 @@ class FavoriteManagerScreen(Screen):
        return ListItem(container)

    def _get_repo_info(self, repo_path: str, fav: FavoriteItem) -> Optional[dict]:
-        """获取仓库信息 (标题、原子内容预览) """
+        """获取仓库信息（标题、原子内容预览）"""
        try:
            data_repo = Path(config_var.get()["global"]["paths"]["data"]) / "repo"
            repo_dir = data_repo / repo_path
@@ -200,7 +200,7 @@ class FavoriteManagerScreen(Screen):
        # 重新组合
        if not self.favorites:
            container.mount(Label("暂无收藏", classes="empty-label"))
-            container.mount(Static("使用 * 键在记忆界面中添加收藏. "))
+            container.mount(Static("使用 * 键在记忆界面中添加收藏。"))
        else:
            container.mount(
                Label(f"共 {len(self.favorites)} 个收藏项", classes="count-label")
@@ -240,7 +240,7 @@ class MemScreen(Screen):
        self.rating = 3

    def _get_repo_rel_path(self) -> str:
-        """获取仓库相对路径 (相对于 data/repo) """
+        """获取仓库相对路径（相对于 data/repo）"""
        if self.repo is None:
            return ""
        # self.repo.source 是 Path 对象, 指向仓库目录
@@ -250,7 +250,7 @@ class MemScreen(Screen):
            rel_path = repo_full_path.relative_to(data_repo_path)
            return str(rel_path)
        except ValueError:
-            # 如果不在 data/repo 下, 则返回完整路径 (字符串形式) 
+            # 如果不在 data/repo 下, 则返回完整路径（字符串形式）
            return str(repo_full_path)

    def _is_current_atom_favorited(self) -> bool:
@@ -273,7 +273,7 @@ class MemScreen(Screen):
        else:
            favorite_manager.add(repo_path, ident)
            self.app.notify(f"已收藏：{ident}", severity="information")
-        # 更新显示 (如果需要) 
+        # 更新显示（如果需要）
        self.update_display()

    def action_block_prompt(self):
@@ -34,7 +34,7 @@ class NavigatorScreen(ModalScreen):

    OTHERS = [
        ("退出程序", "self.app.exit()"),
-        ("项目主页", "webbrowser.open('https://ams.pluv27.top')"),
+        ("项目主页", "webbrowser.open('https://ams.imwangzhiyu.xyz')"),
    ]

    def compose(self) -> ComposeResult:
@@ -78,7 +78,7 @@ class PrecachingScreen(Screen):
        for repo in repos:
            try:
                total += len(repo.ident_index)
-            except (AttributeError, TypeError):
+            except:
                continue
        return total

@@ -278,7 +278,7 @@ class PrecachingScreen(Screen):
                            repo.nucleonic_data_lict.get_itemic_unit(i)
                        )
                    )
-            except (KeyError, TypeError, AttributeError):
+            except:
                continue
        self.total = len(nucleon_list)
        return self.precache_by_list(nucleon_list)
@@ -190,7 +190,7 @@ class SyncScreen(Screen):
        self.run_worker(self.perform_sync, thread=True)

    def perform_sync(self):
-        """执行同步任务 (在后台线程中运行) """
+        """执行同步任务（在后台线程中运行）"""
        worker = get_current_worker()

        try:
@@ -234,7 +234,7 @@ class SyncScreen(Screen):
                        is_error=True,
                    )

-            # 同步 orbital 目录 (如果存在) 
+            # 同步 orbital 目录（如果存在）
            orbital_dir = pathlib.Path(paths.get("orbital_dir", "./data/orbital"))
            if orbital_dir.exists():
                self.log_message(f"同步 orbital 目录: {orbital_dir}")
@@ -1,8 +1,3 @@
-"""算法模块
-
-自动发现并加载所有算法实现, 提供统一的算法注册表. 
-"""
-
 import importlib
 import pkgutil
 from pathlib import Path
@@ -9,17 +9,6 @@ _registry: dict[str, type["BaseAlgorithm"]] = {}


 class BaseAlgorithm:
-    """间隔重复算法基类
-
-    定义所有调度算法必须实现的接口. 子类通过继承此类并设置 algo_name
-    自动注册到全局算法注册表. 
-
-    Attributes:
-        algo_name: 算法的唯一标识名称, 用于注册和查找
-        desc: 算法的简短描述
-        defaults: 算法数据字典的默认值模板
-    """
-
    algo_name = "BaseAlgorithm"
    desc = "算法基类"

@@ -29,11 +18,6 @@ class BaseAlgorithm:

    @classmethod
    def get_registry(cls) -> dict[str, type["BaseAlgorithm"]]:
-        """获取所有已注册算法的字典
-
-        Returns:
-            键为 algo_name, 值为算法类的字典
-        """
        return dict(_registry)

    class AlgodataDict(TypedDict):
@@ -59,15 +43,7 @@ class BaseAlgorithm:
    def revisor(
        cls, algodata: dict, feedback: int = 5, is_new_activation: bool = False
    ) -> None:
-        """迭代记忆数据
-
-        根据用户反馈更新算法状态, 计算下一次复习时间. 
-
-        Args:
-            algodata: 算法数据字典, 包含该算法的所有状态参数
-            feedback: 用户反馈评分 (0-5), -1 表示跳过更新
-            is_new_activation: 是否为首次激活, 首次激活时重置部分参数
-        """
+        """迭代记忆数据"""
        logger.debug(
            "BaseAlgorithm.revisor 被调用, algodata keys: %s, feedback: %d, is_new_activation: %s",
            list(algodata.keys()) if algodata else [],
@@ -77,14 +53,7 @@ class BaseAlgorithm:

    @classmethod
    def is_due(cls, algodata) -> int:
-        """判断是否应该复习
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            1 表示应该复习, 0 表示不需要
-        """
+        """是否应该复习"""
        logger.debug(
            "BaseAlgorithm.is_due 被调用, algodata keys: %s",
            list(algodata.keys()) if algodata else [],
@@ -93,14 +62,7 @@ class BaseAlgorithm:

    @classmethod
    def get_rating(cls, algodata) -> str:
-        """获取当前记忆状态的评分信息
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            评分的字符串表示, 如 efactor 值
-        """
+        """获取评分信息"""
        logger.debug(
            "BaseAlgorithm.rate 被调用, algodata keys: %s",
            list(algodata.keys()) if algodata else [],
@@ -109,14 +71,7 @@ class BaseAlgorithm:

    @classmethod
    def nextdate(cls, algodata) -> int:
-        """获取下一次复习的时间戳
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            下次复习的日期戳 (天数), -1 表示无计划
-        """
+        """获取下一次记忆时间戳"""
        logger.debug(
            "BaseAlgorithm.nextdate 被调用, algodata keys: %s",
            list(algodata.keys()) if algodata else [],
@@ -125,16 +80,8 @@ class BaseAlgorithm:

    @classmethod
    def check_integrity(cls, algodata):
-        """校验算法数据完整性
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            1 表示数据完整, 0 表示数据缺失或格式错误
-        """
        try:
            cls.AlgodataDict(**algodata[cls.algo_name])
            return 1
-        except (KeyError, TypeError, ValueError):
+        except:
            return 0
@@ -61,7 +61,7 @@ def _feedback_to_rating(feedback: int) -> Rating:


 def _datetime_to_daystamp(dt: datetime) -> int:
-    """将 datetime 转换为天数戳 (从 1970-01-01) """
+    """将 datetime 转换为天数戳（从 1970-01-01）"""
    epoch = datetime(1970, 1, 1, tzinfo=timezone.utc)
    delta = dt - epoch
    return delta.days
@@ -81,7 +81,7 @@ class FSRSAlgorithm(BaseAlgorithm):
        # FSRS 特有字段
        fsrs_state: int  # State 枚举值: 1=Learning, 2=Review, 3=Relearning
        fsrs_step: int  # 当前学习步进索引, -1 表示 None (Review 状态)
-        fsrs_stability: float  # 稳定性 (秒) , 0.0 表示尚未计算
+        fsrs_stability: float  # 稳定性（秒）, 0.0 表示尚未计算
        fsrs_difficulty: float  # 难度 [1.0, 10.0], 0.0 表示尚未计算
        # 标准 BaseAlgorithm 兼容字段
        real_rept: int
@@ -116,11 +116,11 @@ class FSRSAlgorithm(BaseAlgorithm):
        # State: int → IntEnum
        card.state = data.get("fsrs_state", 1)

-        # Step: -1 表示 None (Review 状态下的 card.step 为 None) 
+        # Step: -1 表示 None（Review 状态下的 card.step 为 None）
        step = data.get("fsrs_step", -1)
        card.step = None if step == -1 else step

-        # Stability: 0.0 表示尚未计算 (新卡片) 
+        # Stability: 0.0 表示尚未计算（新卡片）
        stability = data.get("fsrs_stability", 0.0)
        card.stability = None if stability == 0.0 else stability

@@ -170,11 +170,11 @@ class FSRSAlgorithm(BaseAlgorithm):
    ):
        """FSRS 算法迭代决策机制实现

-        将 feedback (0-5) 映射为 FSRS Rating 后交由 py-fsrs 调度器处理. 
+        将 feedback (0-5) 映射为 FSRS Rating 后交由 py-fsrs 调度器处理。

        Args:
            feedback (int): 0-5 的记忆保留率量化参数
-            is_new_activation: 是否为全新激活 (重置为初始状态) 
+            is_new_activation: 是否为全新激活（重置为初始状态）
        """
        logger.debug(
            "FSRS.revisor 开始, feedback: %d, is_new_activation: %s",
@@ -201,7 +201,7 @@ class FSRSAlgorithm(BaseAlgorithm):
        cls._card_to_algodata(card, algodata)
        # real_rept: 总复习次数
        algodata[cls.algo_name]["real_rept"] += 1
-        # rept: 成功回忆次数 (feedback ≥ 3 视为成功) 
+        # rept: 成功回忆次数（feedback ≥ 3 视为成功）
        if feedback >= 3:
            algodata[cls.algo_name]["rept"] += 1

@@ -9,16 +9,6 @@ logger = get_logger(__name__)


 class NSP0Algorithm(BaseAlgorithm):
-    """NSP-0 非间隔重复调度器
-
-    快速筛选用算法, 对低分项目保持每日复习, 高分项目标记为已掌握. 
-    适用于需要快速过滤大量材料的场景. 
-
-    Attributes:
-        algo_name: "NSP-0"
-        desc: 快速筛选用非间隔重复调度器
-    """
-
    algo_name = "NSP-0"
    desc = "快速筛选用非间隔重复调度器"

@@ -48,13 +38,11 @@ class NSP0Algorithm(BaseAlgorithm):
        cls, algodata: dict, feedback: int = 5, is_new_activation: bool = False
    ):
        """NSP-0 算法迭代决策机制实现
-
-        低分 (feedback<=3) 设置间隔为 1 天, 高分标记为已掌握 (间隔无限). 
+        根据 quality(0 ~ 5) 进行参数迭代最佳间隔
+        quality 由主程序评估

        Args:
-            algodata: 算法数据字典
-            feedback: 记忆保留率量化参数 (0-5), -1 表示跳过
-            is_new_activation: 是否为首次激活
+            quality (int): 记忆保留率量化参数
        """
        logger.debug(
            "NSP0.revisor 开始, feedback: %d, is_new_activation: %s",
@@ -85,14 +73,6 @@ class NSP0Algorithm(BaseAlgorithm):

    @classmethod
    def is_due(cls, algodata):
-        """判断是否应该复习
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            True 表示到期, False 表示未到期
-        """
        result = algodata[cls.algo_name]["next_date"] <= timer.get_daystamp()
        logger.debug(
            "NSP0.is_due: next_date=%d, current_daystamp=%d, result=%s",
@@ -104,28 +84,12 @@ class NSP0Algorithm(BaseAlgorithm):

    @classmethod
    def get_rating(cls, algodata):
-        """获取当前 important 标记作为评分信息
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            important 值的字符串表示
-        """
-        important = algodata[cls.algo_name]["important"]
-        logger.debug("NSP0.rate: important=%d", important)
-        return str(important)
+        efactor = algodata[cls.algo_name]["efactor"]
+        logger.debug("NSP0.rate: efactor=%f", efactor)
+        return str(efactor)

    @classmethod
    def nextdate(cls, algodata) -> int:
-        """获取下一次复习日期
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            下次复习的天数戳
-        """
        next_date = algodata[cls.algo_name]["next_date"]
        logger.debug("NSP0.nextdate: %d", next_date)
        return next_date
@@ -643,13 +643,13 @@ class SM15MAlgorithm(BaseAlgorithm):
        lapse: int
        repetition: int
        of_val: float  # O-Factor
-        optimum_interval_days: int  # 最优间隔 (天) 
+        optimum_interval_days: int  # 最优间隔（天）
        afs: list  # A-Factor 历史
        af: float  # 当前 A-Factor
-        # 毫秒精度 (子日排程) 
+        # 毫秒精度（子日排程）
        last_date_ms: int
        next_date_ms: int
-        # BaseAlgorithm 兼容 (天精度, 向后兼容) 
+        # BaseAlgorithm 兼容（天精度, 向后兼容）
        real_rept: int
        rept: int
        interval: int
@@ -9,16 +9,6 @@ logger = get_logger(__name__)


 class SM2Algorithm(BaseAlgorithm):
-    """SuperMemo-2 算法实现
-
-    经典间隔重复算法, 基于 1987 年 Piotr Wozniak 设计的 SM-2. 
-    通过维护 efactor (难度因子) 来调整复习间隔. 
-
-    Attributes:
-        algo_name: "SM-2"
-        desc: SuperMemo2 (1987) 简单间隔重复调度器
-    """
-
    algo_name = "SM-2"
    desc = "SuperMemo2 (1987) 简单间隔重复调度器"

@@ -48,13 +38,11 @@ class SM2Algorithm(BaseAlgorithm):
        cls, algodata: dict, feedback: int = 5, is_new_activation: bool = False
    ):
        """SM-2 算法迭代决策机制实现
-
-        根据 feedback (0-5) 更新 efactor 并计算下次复习间隔. 
+        根据 quality(0 ~ 5) 进行参数迭代最佳间隔
+        quality 由主程序评估

        Args:
-            algodata: 算法数据字典
-            feedback: 记忆保留率量化参数 (0-5), -1 表示跳过
-            is_new_activation: 是否为首次激活
+            quality (int): 记忆保留率量化参数
        """
        logger.debug(
            "SM2.revisor 开始, feedback: %d, is_new_activation: %s",
@@ -119,14 +107,6 @@ class SM2Algorithm(BaseAlgorithm):

    @classmethod
    def is_due(cls, algodata):
-        """判断是否应该复习
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            True 表示到期, False 表示未到期
-        """
        result = algodata[cls.algo_name]["next_date"] <= timer.get_daystamp()
        logger.debug(
            "SM2.is_due: next_date=%d, current_daystamp=%d, result=%s",
@@ -138,28 +118,12 @@ class SM2Algorithm(BaseAlgorithm):

    @classmethod
    def get_rating(cls, algodata):
-        """获取当前 efactor 作为评分信息
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            efactor 值的字符串表示
-        """
        efactor = algodata[cls.algo_name]["efactor"]
        logger.debug("SM2.rate: efactor=%f", efactor)
        return str(efactor)

    @classmethod
    def nextdate(cls, algodata) -> int:
-        """获取下一次复习日期
-
-        Args:
-            algodata: 算法数据字典
-
-        Returns:
-            下次复习的天数戳
-        """
        next_date = algodata[cls.algo_name]["next_date"]
        logger.debug("SM2.nextdate: %d", next_date)
        return next_date
@@ -1,41 +1,19 @@
 class Evalizer:
    """几乎无副作用的模板系统

-    接受环境信息并创建一个模板解析工具, 递归遍历数据结构,
-    对 "eval:" 前缀的字符串执行表达式求值. 
-
-    副作用问题: 仅存在于 eval 函数调用. 
-
-    Attributes:
-        env: 模板求值时的环境变量字典
+    接受环境信息并创建一个模板解析工具, 工具传入参数支持list, dict及其嵌套
+    副作用问题: 仅存在于 eval 函数
    """

    # TODO: 弃用风险极高的 eval
    # TODO: 异步/多线程执行避免堵塞
    def __init__(self, environment: dict) -> None:
-        """初始化模板解析器
-
-        Args:
-            environment: 模板求值时的环境变量字典
-        """
        self.env = environment

    def __call__(self, anyobj):
-        """调用入口, 等同于 travel"""
        return self.travel(anyobj)

    def travel(self, anyobj):
-        """递归遍历数据结构并展开模板表达式
-
-        支持 list, dict, tuple 的嵌套结构. 
-        字符串以 "eval:" 开头时执行表达式求值. 
-
-        Args:
-            anyobj: 任意 Python 对象
-
-        Returns:
-            展开后的对象
-        """
        if isinstance(anyobj, list):
            return list(map(self.travel, anyobj))
        elif isinstance(anyobj, dict):
@@ -51,13 +29,5 @@ class Evalizer:
            return anyobj

    def eval_with_env(self, s: str):
-        """在环境变量上下文中执行表达式
-
-        Args:
-            s: Python 表达式字符串
-
-        Returns:
-            表达式求值结果
-        """
        ret = eval(s, globals(), self.env)
        return ret
@@ -50,11 +50,6 @@ class Lict(MutableSequence):
            self._list_dirty = False

    def __getitem__(self, key):
-        """按键或索引获取值
-
-        Args:
-            key: 字符串键 (字典访问) 或整数索引 (列表访问)
-        """
        if isinstance(key, str):
            return self._dict[key]
        else:
@@ -62,12 +57,7 @@ class Lict(MutableSequence):
            return self._list[key]

    def __setitem__(self, key, value):
-        """按键或索引设置值
-
-        Args:
-            key: 字符串键 (字典设置) 或整数索引 (替换列表元组)
-            value: 新值, 索引访问时必须为 (key, value) 元组
-        """
+        """传入键值对时等同于操作字典, 传入索引+元组时等用于替换某索引的列表值为新元组"""
        if isinstance(key, str):
            self._dict[key] = value
            self._list_dirty = True
@@ -91,17 +81,14 @@ class Lict(MutableSequence):
            del self._dict[del_key]

    def keys(self):
-        """返回所有键"""
        self._sync_if_needed()
        return self._dict.keys()

    def values(self):
-        """返回所有值"""
        self._sync_if_needed()
        return self._dict.values()

    def items(self):
-        """返回所有键值对元组列表"""
        self._sync_if_needed()
        return self._list

@@ -118,14 +105,6 @@ class Lict(MutableSequence):
        return item in self._list or item in self.keys() or item in self.values()

    def append(self, item):
-        """追加键值对元组
-
-        Args:
-            item: (key, value) 格式的元组
-
-        Raises:
-            NotImplementedError: item 不是二元组
-        """
        if item != (item[0], item[1]):
            raise NotImplementedError
        self._sync_if_needed()  # 以防 forced_order
@@ -135,14 +114,6 @@ class Lict(MutableSequence):
        self._sync_if_needed()  # 以防 forced_order

    def append_if_it_doesnt_exist_before(self, item: Any):
-        """若键不存在则追加键值对
-
-        Args:
-            item: (key, value) 格式的元组
-
-        Raises:
-            NotImplementedError: item 不是二元组
-        """
        if item != (item[0], item[1]):
            raise NotImplementedError
        self._sync_if_needed()
@@ -191,25 +162,9 @@ class Lict(MutableSequence):
        raise NotImplementedError

    def get_itemic_unit(self, ident):
-        """获取指定键的 (key, value) 元组
-
-        Args:
-            ident: 键名
-
-        Returns:
-            (key, value) 格式的元组
-        """
        return (ident, self._dict[ident])

    def keys_equal_with(self, other):
-        """比较两个 Lict 的键集合是否相同
-
-        Args:
-            other: 另一个 Lict 实例
-
-        Returns:
-            True 表示键集合相同
-        """
        self._sync_if_needed()
        return self.key_equality(self, other)

@@ -1,8 +1,3 @@
-"""粒子数据模型模块
-
-定义记忆单元的核心数据结构: Nucleon (内容)、Electron (状态)、Atom (组装). 
-"""
-
 from .atom import Atom
 from .electron import Electron
 from .nucleon import Nucleon
@@ -70,8 +70,7 @@ class Electron:
        try:
            result = self.algo.get_rating(self.algodata)
            return result
-        except (KeyError, TypeError, AttributeError) as e:
-            logger.warning("获取评分失败 (ident=%s): %s", self.ident, e)
+        except:
            return 0

    def nextdate(self) -> int:
@@ -8,27 +8,9 @@ logger = get_logger(__name__)


 class Nucleon:
-    """原子核: 带有运行时隔离的模板化只读材料元数据容器
-
-    封装记忆单元的内容数据, 通过 Evalizer 模板系统展开 payload 和 common
-    中的动态表达式. 创建后数据不可修改. 
-
-    Attributes:
-        ident: 记忆单元的唯一标识
-        data: 展开后的内容字典 (只读)
-    """
+    """原子核: 带有运行时隔离的模板化只读材料元数据容器"""

    def __init__(self, ident, payload, common):
-        """初始化核子
-
-        合并 payload 和 common, 通过 Evalizer 展开模板表达式. 
-        展开失败时静默降级为原始数据. 
-
-        Args:
-            ident: 记忆单元标识
-            payload: 记忆内容字典
-            common: 通用元数据字典
-        """
        self.ident = ident
        try:
            data_safe = deepcopy((payload | common))
@@ -54,64 +36,31 @@ class Nucleon:
            self.data = payload | common

    def __getitem__(self, key):
-        """按字符串键获取数据
-
-        Args:
-            key: 字符串键名, "ident" 返回标识
-
-        Returns:
-            对应键的值
-
-        Raises:
-            AttributeError: 键类型不是字符串
-        """
        if isinstance(key, str):
            if key == "ident":
                return self.ident
            return self.data[key]
        else:
-            raise AttributeError(f"Nucleon 仅支持字符串键访问, 收到: {type(key).__name__}")
+            raise AttributeError

    def __setitem__(self, key, value):
-        """禁止修改 (只读容器)
-
-        Raises:
-            AttributeError: 始终抛出
-        """
        raise AttributeError("应为只读")

    def __delitem__(self, key):
-        """禁止删除 (只读容器)
-
-        Raises:
-            AttributeError: 始终抛出
-        """
        raise AttributeError("应为只读")

    def __iter__(self):
-        """迭代数据字典的键"""
        return iter(self.data)

    def __contains__(self, key):
-        """检查键是否存在于数据中"""
        return key in (self.data)

    def get(self, key, default=None):
-        """安全获取数据值
-
-        Args:
-            key: 键名
-            default: 键不存在时的默认值
-
-        Returns:
-            键对应的值或默认值
-        """
        if key in self:
            return self[key]
        return default

    def __len__(self):
-        """返回数据字典的长度"""
        return len(self.data)

    def __repr__(self):
@@ -122,14 +71,6 @@ class Nucleon:

    @staticmethod
    def from_data(nucleonic_data: tuple):
-        """从元组数据创建核子
-
-        Args:
-            nucleonic_data: 格式为 (ident, (payload, common)) 的元组
-
-        Returns:
-            Nucleon 实例
-        """
        _data = nucleonic_data
        payload = _data[1][0]
        common = _data[1][1]
@@ -1,8 +1,3 @@
-"""占位符模块
-
-提供用于 UI 预览和测试的占位粒子对象, 避免空值错误. 
-"""
-
 from .atom import Atom
 from .electron import Electron
 from .nucleon import Nucleon
@@ -26,8 +21,6 @@ orbital_placeholder = {


 class NucleonPlaceholder(Nucleon):
-    """核子占位符, 用于 UI 预览"""
-
    def __init__(self):
        super().__init__("__placeholder__", {}, {})

@@ -36,15 +29,11 @@ class NucleonPlaceholder(Nucleon):


 class ElectronPlaceholder(Electron):
-    """电子占位符, 用于 UI 预览"""
-
    def __init__(self):
        super().__init__("__placeholder__", {"": {"": ""}}, "")


 class AtomPlaceholder(Atom):
-    """原子占位符, 用于 UI 预览"""
-
    def __init__(self):
        super().__init__(
            NucleonPlaceholder(), ElectronPlaceholder(), orbital_placeholder
@@ -1,5 +1,3 @@
-"""猜测谜题模块 (预留)"""
-
 from heurams.services.logger import get_logger

 from .base import BasePuzzle
@@ -8,10 +6,5 @@ logger = get_logger(__name__)


 class GuessPuzzle(BasePuzzle):
-    """猜测型谜题 (预留实现)
-
-    要求用户猜测词义, 尚未完成实现. 
-    """
-
    def __init__(self):
        super().__init__()
@@ -1,4 +1,4 @@
-"""识别谜题模块"""
+# mcq.py

 from heurams.services.logger import get_logger

@@ -8,14 +8,11 @@ logger = get_logger(__name__)


 class RecognitionPuzzle(BasePuzzle):
-    """识别型谜题
-
-    展示内容供用户识别确认, 无需主动回忆. 
-    常用于复习流程的最后阶段 (retronly 回溯模式). 
-    """
+    """识别占位符"""

    def __init__(self) -> None:
+        logger.debug("RecognitionPuzzle.__init__")
        super().__init__()

    def refresh(self):
-        """刷新谜题 (识别型无需生成内容)"""
+        logger.debug("RecognitionPuzzle.refresh(空实现)")
@@ -1,7 +1,4 @@
-"""反应器模块
-
-基于三层嵌套状态机 (Router -> Procession -> Expander) 实现复习流程调度与排程. 
-"""
+from heurams.services.logger import get_logger

 from .expander import Expander
 from .router import Router
@@ -14,17 +14,7 @@ logger = get_logger(__name__)


 class Expander(Machine):
-    """单原子调度展开器
-
-    根据轨道策略 (orbital) 将单个原子展开为谜题序列. 
-    包含 exammode (考试模式) 和 retronly (回溯模式) 两个阶段. 
-
-    Attributes:
-        atom: 关联的 Atom 实例
-        route: 当前路由阶段
-        puzzles_inf: 展开后的谜题信息列表
-        min_ratings: 每个谜题的最低评分记录
-    """
+    """单原子调度展开器"""

    def __init__(self, atom: pt.Atom, route=RouterState.RECOGNITION):
        self.route = route
@@ -95,47 +85,20 @@ class Expander(Machine):
        )

    def get_puzzles_inf(self):
-        """获取谜题信息列表
-
-        回溯模式下返回识别谜题, 否则返回展开的谜题列表. 
-
-        Returns:
-            谜题信息字典列表
-        """
        if self.state == "retronly":
            return [{"puzzle": puz.puzzles["recognition"], "alia": "Recognition"}]
        return self.puzzles_inf

    def get_current_puzzle_inf(self):
-        """获取当前谜题信息
-
-        Returns:
-            当前谜题的信息字典
-        """
        if self.state == "retronly":
            return {"puzzle": puz.puzzles["recognition"], "alia": "Recognition"}
        return self.current_puzzle_inf

    def report(self, rating):
-        """报告当前谜题的评分
-
-        Args:
-            rating: 用户评分 (0-5)
-        """
        if self.puzzles_inf:
            self.min_ratings[self.cursor] = min(rating, self.min_ratings[self.cursor])

    def get_quality(self):
-        """获取所有谜题的最低评分
-
-        仅在回溯模式 (retronly) 下可用. 
-
-        Returns:
-            所有谜题评分的最小值
-
-        Raises:
-            IndexError: 非回溯模式下调用
-        """
        if self.puzzles_inf:
            if self.is_state("retronly", self):
                return reduce(lambda x, y: min(x, y), self.min_ratings)
@@ -100,40 +100,20 @@ class Procession(Machine):
        return length

    def process(self):
-        """获取当前游标位置
-
-        Returns:
-            当前游标索引
-        """
        logger.debug("Procession.process: cursor=%d", self.cursor)
        return self.cursor

    def total_length(self):
-        """获取队列总长度 (含已处理的原子)
-
-        Returns:
-            原子总数
-        """
        total = len(self.atoms)
        logger.debug("Procession.total_length: %d", total)
        return total

    def is_empty(self):
-        """判断队列是否为空
-
-        Returns:
-            True 表示队列为空
-        """
        empty = len(self.atoms) == 0
        logger.debug("Procession.is_empty: %s", empty)
        return empty

    def get_expander(self):
-        """获取当前原子的展开器
-
-        Returns:
-            Expander 实例
-        """
        return Expander(atom=self.current_atom, route=self.route)  # type: ignore

    def __repr__(self, style="pipe", ends="\n"):
@@ -113,14 +113,6 @@ class Router(Machine):
        logger.debug("Router 进入 FINISHED 状态")

    def current_procession(self):
-        """获取当前未完成的队列
-
-        遍历所有队列, 返回第一个未完成的 Procession. 
-        若全部完成则切换到 FINISHED 状态并返回占位队列. 
-
-        Returns:
-            当前活跃的 Procession, 或占位 Procession (全部完成时)
-        """
        logger.debug("Router.current_procession 被调用")
        for i in self.processions:
            i: Procession
@@ -1,8 +1,3 @@
-"""状态枚举定义
-
-定义反应器三层状态机的所有状态值. 
-"""
-
 from enum import Enum

 from heurams.services.logger import get_logger
@@ -11,8 +6,6 @@ logger = get_logger(__name__)


 class RouterState(Enum):
-    """路由器状态: 全局复习阶段"""
-
    UNSURE = "unsure"
    QUICK_REVIEW = "quick_review"
    RECOGNITION = "recognition"
@@ -21,15 +14,11 @@ class RouterState(Enum):


 class ProcessionState(Enum):
-    """队列状态: 单阶段进度"""
-
    ACTIVE = "active"
    FINISHED = "finished"


 class ExpanderState(Enum):
-    """展开器状态: 单原子调度模式"""
-
    EXAMMODE = "exammode"
    RETRONLY = "retronly"

@@ -1,8 +1,3 @@
-"""仓库系统模块
-
-提供记忆单元集的加载、保存和管理功能. 
-"""
-
 from .repo import Repo, RepoManifest

 __all__ = ["Repo", "RepoManifest"]
@@ -10,15 +10,6 @@ from heurams.kernel.auxiliary.lict import Lict


 class RepoManifest(TypedDict):
-    """仓库清单数据结构
-
-    Attributes:
-        title: 仓库标题
-        author: 作者名称
-        package: 包名标识
-        desc: 仓库描述
-    """
-
    title: str
    author: str
    package: str
@@ -26,21 +17,8 @@ class RepoManifest(TypedDict):


 class Repo:
-    """记忆单元仓库
-
-    管理单个记忆单元集的所有数据, 包括内容 (payload)、算法状态 (algodata)、
-    复习策略 (schedule) 和元信息 (manifest/typedef). 
-
-    上层 API 请访问此对象下的粒子对象列表 (nucleonic_data_lict 等). 
-
-    Attributes:
-        schedule: 复习策略字典 (轨道定义)
-        payload: 记忆内容 (Lict)
-        algodata: 算法状态数据 (Lict)
-        manifest: 仓库清单信息
-        typedef: 类型定义和谜题配置
-        source: 仓库来源目录路径
-    """
+    """只维护仓库本身
+    上层 API 请访问此对象下粒子对象列表"""

    file_mapping = {
        "schedule": "schedule.toml",
@@ -89,16 +67,12 @@ class Repo:
        }
        try:
            self.config.update(dict(config_var.get()["repo"][self.manifest["package"]]))
-        except (KeyError, TypeError, ValueError):
+        except:
            pass
        self._generate_particles_data()

    def _generate_particles_data(self):
-        """生成上层的粒子数据
-
-        将 payload 转换为 Nucleon 所需格式, 并为每个 ident 初始化
-        algodata 条目. 会在 __init__ 后自动调用. 
-        """
+        """生成上层的粒子对象组和 API 交互, 会在 init 后自动调用"""
        self.nucleonic_data_lict = Lict(
            initlist=list(map(self._nucleonic_proc, self.payload))
        )
@@ -139,7 +113,7 @@ class Repo:
            with open(source / filename, "w") as f:
                try:
                    dict_data = self.database[keyname].dicted_data
-                except AttributeError:
+                except:
                    dict_data = dict(self.database[keyname])
                if filename.endswith("toml"):
                    toml.dump(dict_data, f)
@@ -154,14 +128,7 @@ class Repo:

    @classmethod
    def create_new_repo(cls, source=None):
-        """创建新的空单元集
-
-        Args:
-            source: 可选的仓库目录路径
-
-        Returns:
-            包含空数据的 Repo 实例
-        """
+        """创建新的空单元集"""
        default_database = {
            "schedule": {},
            "payload": Lict([]),
@@ -174,20 +141,7 @@ class Repo:

    @classmethod
    def from_repodir(cls, source: Path):
-        """从目录创建单元集
-
-        读取目录中的 TOML/JSON 文件并构建 Repo 实例. 
-
-        Args:
-            source: 仓库目录路径
-
-        Returns:
-            Repo 实例
-
-        Raises:
-            FileNotFoundError: 目录缺少必要的文件
-            ValueError: 文件格式不支持
-        """
+        """从目录创建单元集"""
        database = {}
        for keyname, filename in cls.file_mapping.items():
            with open(source / filename, "r") as f:
@@ -209,47 +163,23 @@ class Repo:

    @classmethod
    def from_dict(cls, dictdata, source: Path | None = None):
-        """从单一字典创建单元集
-
-        Args:
-            dictdata: 包含 schedule/payload/algodata/manifest/typedef 的字典
-            source: 可选的仓库目录路径
-
-        Returns:
-            Repo 实例
-        """
+        """从单一字典创建单元集"""
        database = dictdata
        database["source"] = source
        return Repo(**database)

    @classmethod
    def check_repodir(cls, source: Path):
-        """检测单元集目录合法性
-
-        尝试从目录加载 Repo, 成功则视为合法. 
-
-        Args:
-            source: 待检测的目录路径
-
-        Returns:
-            True 表示合法, False 表示不合法
-        """
+        """检测单元集目录合法性"""
        try:
            cls.from_repodir(source)
            return True
-        except (FileNotFoundError, KeyError, ValueError, toml.TomlDecodeError):
+        except:
            return False

    @classmethod
    def probe_valid_repos_in_dir(cls, folder: Path):
-        """扫描目录中的所有合法仓库子目录
-
-        Args:
-            folder: 待扫描的父目录路径
-
-        Returns:
-            合法仓库子目录的 Path 列表
-        """
+        """返回一个合法的子目录 Path() 列表"""
        lst = list()
        for i in folder.iterdir():
            if i.is_dir():
@@ -5,6 +5,8 @@

 import pathlib

+import playsound3
+
 from heurams.services.logger import get_logger

 logger = get_logger(__name__)
@@ -13,7 +15,6 @@ logger = get_logger(__name__)
 def play_by_path(path: pathlib.Path):
    logger.debug("playsound_audio.play_by_path: 开始播放 %s", path)
    try:
-        import playsound3
        playsound3.playsound(str(path))
        logger.debug("播放完成: %s", path)
    except Exception as e:
@@ -12,10 +12,12 @@ logger = get_logger(__name__)

 # from .protocol import PlayFunctionProtocol

+
 def play_by_path(path: pathlib.Path):
    logger.debug("termux_audio.play_by_path: 开始播放 %s", path)
    try:
-        os.system(f"play-audio {path.resolve()}")
+        os.system(f"play-audio {path}")
        logger.debug("播放命令已执行: %s", path)
    except Exception as e:
        logger.error("播放失败: %s, 错误: %s", path, e)
+        raise
@@ -38,7 +38,7 @@ class BaseLLM:
        return "BaseLLM 未实现具体功能"

    async def chat_stream(self, messages: List[Dict[str, str]], **kwargs):
-        """流式聊天 (可选实现) 
+        """流式聊天（可选实现）

        Args:
            messages: 消息列表
@@ -22,7 +22,7 @@ class OpenAILLM(BaseLLM):
        logger.debug("OpenAILLM 初始化完成: base_url=%s", self.base_url)

    def _get_client(self):
-        """获取 OpenAI 客户端 (延迟导入) """
+        """获取 OpenAI 客户端（延迟导入）"""
        if self._client is None:
            try:
                from openai import AsyncOpenAI
@@ -5,7 +5,7 @@ from heurams.context import config_var
 from pathlib import Path
 import atexit
 from heurams.services import timer
-from heurams.services.exceptions import AtticError
+from heurams.services.exceptions import WTFException

 logger = get_logger(__name__)

@@ -34,7 +34,7 @@ class Attic:
        self.ident = self.ident.replace("<DAYSTAMP>", str(timer.get_daystamp()))
        self.ident = self.ident.replace("<TIMESTAMP>", str(timer.get_timestamp()))
        if "<" in ident or ">" in ident:
-            raise AtticError(f"Attic 标识 '{ident}' 中仍含有未替换的占位符")
+            raise WTFException
        # self.ident = get_md5(self.ident)
        self.pklpath = atticdir / f"{self.ident}.pkl"
        atexit.register(self.save)
@@ -43,8 +43,7 @@ class Attic:
            try:
                self.load()
                return
-            except (pkl.UnpicklingError, EOFError, ModuleNotFoundError, ImportError) as e:
-                logger.warning("Attic '%s' 加载失败, 将重建: %s", self.ident, e)
+            except:
                self.pklpath.unlink(missing_ok=True)
        self.pklpath.touch(exist_ok=True)

@@ -4,9 +4,9 @@ import toml
 from collections import UserDict

 from heurams.services.logger import get_logger
-from heurams.services.exceptions import ConfigError
+from heurams.services.exceptions import WTFException

-# 流程: 找到文件名: 返回文件名里头的数据; 找不到: 继续查索引; 所以 self.data 除了存本级各种索引无他用
+# 我们的流程是: 找到文件名: 返回文件名里头的数据; 找不到: 继续查索引; 所以 self.data 除了存本级各种索引球用没得
 logger = get_logger(__name__)


@@ -15,7 +15,7 @@ class ConfigDict(UserDict):

    def __new__(cls, config_path: pathlib.Path, dict=None):
        if dict:
-            raise ConfigError("ConfigDict 不接受默认字典参数")
+            raise WTFException("不要放默认值...")

        # 规范化路径, 免得单例存在"别名"
        path_key = config_path.resolve()
@@ -33,7 +33,7 @@ class ConfigDict(UserDict):
            return
        self._initialized = True
        if dict:
-            raise ConfigError("ConfigDict 不接受默认字典参数")
+            raise WTFException("不要放默认值...")
        super().__init__(dict)
        logger = get_logger(__name__)
        self.path = config_path
@@ -44,14 +44,12 @@ class ConfigDict(UserDict):
            with open(self.path, "r+") as f:  # TODO: 给这个做缓存
                try:
                    self.data = toml.load(f)
-                    self._writable = True
-                except toml.TomlDecodeError as e:
-                    logger.warning("配置文件解析失败: %s, 将以空配置运行", e)
+                except:
                    self.data = {}
-                    self._writable = False
+                    self.persist = lambda: False  # 不修改错误的配置文件

    def __getitem__(self, key):
-        # 实现懒加载
+        # 我们实现了先进的懒狗加载
        value = super().__getitem__(key)
        if isinstance(value, pathlib.Path):
            return ConfigDict(value)
@@ -61,10 +59,10 @@ class ConfigDict(UserDict):
        return super().__contains__(key)

    def __setitem__(self, key, value):
-        origvalue = super().__getitem__(key)  # 所以不该访问不存在的对象
+        origvalue = super().__getitem__(key)  # 所以你不该访问不存在的对象
        if isinstance(origvalue, ConfigDict):
            if origvalue.path.is_dir():
-                raise ConfigError("不允许变更目录配置的内容")
+                raise WTFException("你怎么能变更目录配置的内容呢?!")
            else:
                # 对文件, 我们允许这种覆写存在
                # 但是不准变类型
@@ -73,12 +71,8 @@ class ConfigDict(UserDict):

    def update_index(
        self,
-    ):  # 如果有人没事干在config里面创建指向config的符号链接 此函数会崩溃 但是不要修复: 需要这个符号链接特性并且真崩溃了绝对是用户故意的
+    ):  # 如果有人没事干在config里面创建指向config的符号链接 这玩意会崩溃 但是不要修复: 需要这个符号链接特性
        for i in self.path.iterdir():
-            if i.name.startswith("."):
-                continue # 以防 OSX 与 dolphin 在目录产生隐藏废料
-            if i.name == "desktop.ini":
-                continue # 以防 Windows 产生废料
            if i.name.startswith("_"):
                if i.name == "_.toml" and not i.is_dir():
                    with open(self.path / "_.toml", "r+") as f:
@@ -93,9 +87,6 @@ class ConfigDict(UserDict):
                    logger.debug(f"配置目录中有无效的文件 {i.stem}")  # what's up bro

    def persist(self):
-        if not getattr(self, "_writable", True):
-            logger.warning("跳过写入: 配置文件解析失败, 避免覆盖损坏的文件")
-            return
        if self.is_dir:
            for i in self.data.keys():
                j = self[i]
@@ -1,10 +1,2 @@
-class HeurAMSError(Exception):
-    pass
-
-
-class ConfigError(HeurAMSError):
-    pass
-
-
-class AtticError(HeurAMSError):
+class WTFException(Exception):
    pass
@@ -139,7 +139,7 @@ class FavoriteManager:
        return False

    def get_all(self) -> List[FavoriteItem]:
-        """获取所有收藏项 (按添加时间倒序) """
+        """获取所有收藏项（按添加时间倒序）"""
        return sorted(self._favorites, key=lambda x: x.added, reverse=True)

    def get_by_repo(self, repo_path: str) -> List[FavoriteItem]:
@@ -49,9 +49,9 @@ def daystamp_to_datetime(daystamp: int) -> datetime.datetime:


 def datetime_to_daystamp(dt: datetime.datetime) -> int:
-    """将 datetime 转换为日戳 (从 1970-01-01 起的天数) 
+    """将 datetime 转换为日戳（从 1970-01-01 起的天数）

-    接受带时区或 naive 的 datetime (naive 视为 UTC). 
+    接受带时区或 naive 的 datetime（naive 视为 UTC）。
    """
    epoch = datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc)
    if dt.tzinfo is None:
@@ -61,5 +61,5 @@ def datetime_to_daystamp(dt: datetime.datetime) -> int:


 def get_now_datetime() -> datetime.datetime:
-    """获取当前时间的 UTC datetime (遵守时间覆盖) """
+    """获取当前时间的 UTC datetime（遵守时间覆盖）"""
    return datetime.datetime.fromtimestamp(get_timestamp(), tz=datetime.timezone.utc)
@@ -3,7 +3,7 @@ from heurams.services.logger import get_logger

 logger = get_logger(__name__)

-ver = "0.5.1"
+ver = "0.5.0"
 stage = "stable"
 codename = "fulcrum"
 codename_cn = "支点"
@@ -128,7 +128,7 @@ def csv_to_toml(csv_path, toml_path=None, random_seed=None):
        # 添加section标题
        toml_content.append(f"[{ident}]")

-        # 添加所有其他列作为键值对 (排除ident列) 
+        # 添加所有其他列作为键值对（排除ident列）
        for key, value in row.items():
            if key == "ident":
                continue
@@ -109,6 +109,28 @@ wheels = [
    { url = "https://mirrors.ustc.edu.cn/pypi/packages/fb/76/641ae371508676492379f16e2fa48f4e2c11741bd63c48be4b12a6b09cba/aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e", size = 7490, upload-time = "2025-07-03T22:54:42.156Z" },
 ]

+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+]
+
+[[package]]
+name = "anyio"
+version = "4.13.0"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
+]
+
 [[package]]
 name = "attrs"
 version = "26.1.0"
@@ -184,18 +206,6 @@ wheels = [
    { url = "https://mirrors.ustc.edu.cn/pypi/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" },
 ]

-[[package]]
-name = "click"
-version = "8.3.3"
-source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
-dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
-]
-sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/bb/63/f9e1ea081ce35720d8b92acde70daaedace594dc93b693c869e0d5910718/click-8.3.3.tar.gz", hash = "sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2", size = 328061, upload-time = "2026-04-22T15:11:27.506Z" }
-wheels = [
-    { url = "https://mirrors.ustc.edu.cn/pypi/packages/ae/44/c1221527f6a71a01ec6fbad7fa78f1d50dfa02217385cf0fa3eec7087d59/click-8.3.3-py3-none-any.whl", hash = "sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613", size = 110502, upload-time = "2026-04-22T15:11:25.044Z" },
-]
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -289,6 +299,15 @@ wheels = [
    { url = "https://mirrors.ustc.edu.cn/pypi/packages/9e/ee/a4cf96b8ce1e566ed238f0659ac2d3f007ed1d14b181bcb684e19561a69a/coverage-7.13.5-py3-none-any.whl", hash = "sha256:34b02417cf070e173989b3db962f7ed56d2f644307b2cf9d5a0f258e13084a61", size = 211346, upload-time = "2026-03-17T10:33:15.691Z" },
 ]

+[[package]]
+name = "distro"
+version = "1.9.0"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722, upload-time = "2023-12-24T09:54:32.31Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
+]
+
 [[package]]
 name = "edge-tts"
 version = "7.2.8"
@@ -405,12 +424,20 @@ wheels = [
    { url = "https://mirrors.ustc.edu.cn/pypi/packages/67/3c/e7e140f8cdb95b042cb125ee142e7630187e8e78d21847ca81e9d1e99bb8/fsrs-6.3.1-py3-none-any.whl", hash = "sha256:ac1bf9939573592d8c9bc1e11a00bd17e04146dc9f2c913127e2bcc431b9040b", size = 22840, upload-time = "2026-03-10T14:01:01.084Z" },
 ]

+[[package]]
+name = "h11"
+version = "0.16.0"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
+]
+
 [[package]]
 name = "heurams"
-version = "0.5.1"
+version = "0.5.0"
 source = { editable = "." }
 dependencies = [
-    { name = "click" },
    { name = "tabulate" },
    { name = "toml" },
    { name = "transitions" },
@@ -423,7 +450,7 @@ algo-fsrs = [
 all = [
    { name = "edge-tts" },
    { name = "fsrs" },
-    { name = "llms-py" },
+    { name = "openai" },
    { name = "playsound3" },
    { name = "pytest" },
    { name = "pytest-cov" },
@@ -435,8 +462,7 @@ audio-playsound = [
 basic = [
    { name = "edge-tts" },
    { name = "fsrs" },
-    { name = "llms-py" },
-    { name = "textual" },
+    { name = "openai" },
 ]
 dev = [
    { name = "pytest" },
@@ -444,10 +470,11 @@ dev = [
    { name = "zmq" },
 ]
 interface = [
+    { name = "psutil" },
    { name = "textual" },
 ]
 llm = [
-    { name = "llms-py" },
+    { name = "openai" },
 ]
 tts-edgetts = [
    { name = "edge-tts" },
@@ -455,20 +482,19 @@ tts-edgetts = [

 [package.metadata]
 requires-dist = [
-    { name = "click", specifier = ">=8.3.3" },
    { name = "edge-tts", marker = "extra == 'tts-edgetts'", specifier = ">=7.2.8" },
    { name = "fsrs", marker = "extra == 'algo-fsrs'", specifier = ">=6.3.1" },
    { name = "heurams", extras = ["algo-fsrs"], marker = "extra == 'all'" },
    { name = "heurams", extras = ["algo-fsrs"], marker = "extra == 'basic'" },
    { name = "heurams", extras = ["audio-playsound"], marker = "extra == 'all'" },
    { name = "heurams", extras = ["dev"], marker = "extra == 'all'" },
-    { name = "heurams", extras = ["interface"], marker = "extra == 'basic'" },
    { name = "heurams", extras = ["llm"], marker = "extra == 'all'" },
    { name = "heurams", extras = ["llm"], marker = "extra == 'basic'" },
    { name = "heurams", extras = ["tts-edgetts"], marker = "extra == 'all'" },
    { name = "heurams", extras = ["tts-edgetts"], marker = "extra == 'basic'" },
-    { name = "llms-py", marker = "extra == 'llm'", specifier = ">=3.0.0" },
+    { name = "openai", marker = "extra == 'llm'", specifier = ">=2.32.0" },
    { name = "playsound3", marker = "extra == 'audio-playsound'", specifier = ">=3.3.1" },
+    { name = "psutil", marker = "extra == 'interface'", specifier = ">=7.2.2" },
    { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.0" },
    { name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=6.0.0" },
    { name = "tabulate", specifier = ">=0.10.0" },
@@ -479,6 +505,34 @@ requires-dist = [
 ]
 provides-extras = ["interface", "algo-fsrs", "tts-edgetts", "llm", "audio-playsound", "dev", "all", "basic"]

+[[package]]
+name = "httpcore"
+version = "1.0.9"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "h11" },
+]
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" },
+]
+
+[[package]]
+name = "httpx"
+version = "0.28.1"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "certifi" },
+    { name = "httpcore" },
+    { name = "idna" },
+]
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" }
+wheels = [
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
+]
+
 [[package]]
 name = "idna"
 version = "3.13"
@@ -497,6 +551,78 @@ wheels = [
    { url = "https://mirrors.ustc.edu.cn/pypi/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" },
 ]

+[[package]]
+name = "jiter"
+version = "0.14.0"
+source = { registry = "https://mirrors.ustc.edu.cn/pypi/simple" }
+sdist = { url = "https://mirrors.ustc.edu.cn/pypi/packages/6e/c1/0cddc6eb17d4c53a99840953f95dd3accdc5cfc7a337b0e9b26476276be9/jiter-0.14.0.tar.gz", hash = "sha256:e8a39e66dac7153cf3f964a12aad515afa8d74938ec5cc0018adcdae5367c79e", size = 165725, upload-time = "2026-04-10T14:28:42.01Z" }
+wheels = [
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+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/60/a0/5854ac00ff63551c52c6c89534ec6aba4b93474e7924d64e860b1c94165b/jiter-0.14.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5252a7ca23785cef5d02d4ece6077a1b556a410c591b379f82091c3001e14844", size = 315898, upload-time = "2026-04-10T14:26:26.601Z" },
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/41/a1/4f44832650a16b18e8391f1bf1d6ca4909bc738351826bcc198bba4357f4/jiter-0.14.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c409578cbd77c338975670ada777add4efd53379667edf0aceea730cabede6fb", size = 343730, upload-time = "2026-04-10T14:26:28.326Z" },
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/48/64/a329e9d469f86307203594b1707e11ae51c3348d03bfd514a5f997870012/jiter-0.14.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7ede4331a1899d604463369c730dbb961ffdc5312bc7f16c41c2896415b1304a", size = 370102, upload-time = "2026-04-10T14:26:30.089Z" },
+    { url = "https://mirrors.ustc.edu.cn/pypi/packages/94/c1/5e3dfc59635aa4d4c7bd20a820ac1d09b8ed851568356802cf1c08edb3cf/jiter-0.14.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92cd8b6025981a041f5310430310b55b25ca593972c16407af8837d3d7d2ca01", size = 461335, upload-time = "2026-04-10T14:26:31.911Z" },
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Author	SHA1	Message	Date
pluv	6502efd84f	Merge branch 'dev' 发布 0.5.0 版本	2026-05-07 19:48:25 +08:00
pluv	b3bc5b1a09	0.4.3 版本合并	2025-12-21 23:44:28 +08:00
pluv	6adf1c62f6	0.4.2 版本合并	2025-12-21 06:49:38 +08:00
pluv	abd94d9a21	0.4.1 版本合并	2025-12-21 03:03:06 +08:00