修复代码格式和文件名大小写问题
This commit is contained in:
Windpicker-owo
@@ -23,112 +23,105 @@
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INSTALL_NAME_TO_IMPORT_NAME = {
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# ============== 数据科学与机器学习 (Data Science & Machine Learning) ==============
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"scikit-learn": "sklearn", # 机器学习库
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"scikit-image": "skimage", # 图像处理库
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"opencv-python": "cv2", # OpenCV 计算机视觉库
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"opencv-contrib-python": "cv2", # OpenCV 扩展模块
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"tensorflow-gpu": "tensorflow", # TensorFlow GPU版本
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"tensorboardx": "tensorboardX", # TensorBoard 的封装
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"torchvision": "torchvision", # PyTorch 视觉库 (通常与 torch 一起)
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"torchaudio": "torchaudio", # PyTorch 音频库
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"catboost": "catboost", # CatBoost 梯度提升库
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"lightgbm": "lightgbm", # LightGBM 梯度提升库
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"xgboost": "xgboost", # XGBoost 梯度提升库
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"imbalanced-learn": "imblearn", # 处理不平衡数据集
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"seqeval": "seqeval", # 序列标注评估
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"gensim": "gensim", # 主题建模和NLP
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"nltk": "nltk", # 自然语言工具包
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"spacy": "spacy", # 工业级自然语言处理
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"fuzzywuzzy": "fuzzywuzzy", # 模糊字符串匹配
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"python-levenshtein": "Levenshtein", # Levenshtein 距离计算
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"scikit-learn": "sklearn", # 机器学习库
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"scikit-image": "skimage", # 图像处理库
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"opencv-python": "cv2", # OpenCV 计算机视觉库
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"opencv-contrib-python": "cv2", # OpenCV 扩展模块
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"tensorflow-gpu": "tensorflow", # TensorFlow GPU版本
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"tensorboardx": "tensorboardX", # TensorBoard 的封装
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"torchvision": "torchvision", # PyTorch 视觉库 (通常与 torch 一起)
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"torchaudio": "torchaudio", # PyTorch 音频库
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"catboost": "catboost", # CatBoost 梯度提升库
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"lightgbm": "lightgbm", # LightGBM 梯度提升库
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"xgboost": "xgboost", # XGBoost 梯度提升库
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"imbalanced-learn": "imblearn", # 处理不平衡数据集
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"seqeval": "seqeval", # 序列标注评估
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"gensim": "gensim", # 主题建模和NLP
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"nltk": "nltk", # 自然语言工具包
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"spacy": "spacy", # 工业级自然语言处理
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"fuzzywuzzy": "fuzzywuzzy", # 模糊字符串匹配
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"python-levenshtein": "Levenshtein", # Levenshtein 距离计算
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# ============== Web开发与API (Web Development & API) ==============
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"python-socketio": "socketio", # Socket.IO 服务器和客户端
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"python-engineio": "engineio", # Engine.IO 底层库
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"aiohttp": "aiohttp", # 异步HTTP客户端/服务器
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"python-multipart": "multipart", # 解析 multipart/form-data
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"uvloop": "uvloop", # 高性能asyncio事件循环
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"httptools": "httptools", # 高性能HTTP解析器
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"websockets": "websockets", # WebSocket实现
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"fastapi": "fastapi", # 高性能Web框架
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"starlette": "starlette", # ASGI框架
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"uvicorn": "uvicorn", # ASGI服务器
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"gunicorn": "gunicorn", # WSGI服务器
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"django-rest-framework": "rest_framework", # Django REST框架
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"django-cors-headers": "corsheaders", # Django CORS处理
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"flask-jwt-extended": "flask_jwt_extended", # Flask JWT扩展
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"flask-sqlalchemy": "flask_sqlalchemy", # Flask SQLAlchemy扩展
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"flask-migrate": "flask_migrate", # Flask Alembic迁移扩展
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"python-jose": "jose", # JOSE (JWT, JWS, JWE) 实现
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"passlib": "passlib", # 密码哈希库
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"bcrypt": "bcrypt", # Bcrypt密码哈希
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"python-socketio": "socketio", # Socket.IO 服务器和客户端
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"python-engineio": "engineio", # Engine.IO 底层库
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"aiohttp": "aiohttp", # 异步HTTP客户端/服务器
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"python-multipart": "multipart", # 解析 multipart/form-data
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"uvloop": "uvloop", # 高性能asyncio事件循环
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"httptools": "httptools", # 高性能HTTP解析器
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"websockets": "websockets", # WebSocket实现
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"fastapi": "fastapi", # 高性能Web框架
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"starlette": "starlette", # ASGI框架
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"uvicorn": "uvicorn", # ASGI服务器
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"gunicorn": "gunicorn", # WSGI服务器
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"django-rest-framework": "rest_framework", # Django REST框架
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"django-cors-headers": "corsheaders", # Django CORS处理
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"flask-jwt-extended": "flask_jwt_extended", # Flask JWT扩展
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"flask-sqlalchemy": "flask_sqlalchemy", # Flask SQLAlchemy扩展
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"flask-migrate": "flask_migrate", # Flask Alembic迁移扩展
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"python-jose": "jose", # JOSE (JWT, JWS, JWE) 实现
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"passlib": "passlib", # 密码哈希库
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"bcrypt": "bcrypt", # Bcrypt密码哈希
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# ============== 数据库 (Database) ==============
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"mysql-connector-python": "mysql.connector", # MySQL官方驱动
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"psycopg2-binary": "psycopg2", # PostgreSQL驱动 (二进制)
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"pymongo": "pymongo", # MongoDB驱动
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"redis": "redis", # Redis客户端
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"aioredis": "aioredis", # 异步Redis客户端
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"sqlalchemy": "sqlalchemy", # SQL工具包和ORM
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"alembic": "alembic", # SQLAlchemy数据库迁移工具
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"tortoise-orm": "tortoise", # 异步ORM
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"mysql-connector-python": "mysql.connector", # MySQL官方驱动
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"psycopg2-binary": "psycopg2", # PostgreSQL驱动 (二进制)
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"pymongo": "pymongo", # MongoDB驱动
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"redis": "redis", # Redis客户端
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"aioredis": "aioredis", # 异步Redis客户端
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"sqlalchemy": "sqlalchemy", # SQL工具包和ORM
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"alembic": "alembic", # SQLAlchemy数据库迁移工具
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"tortoise-orm": "tortoise", # 异步ORM
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# ============== 图像与多媒体 (Image & Multimedia) ==============
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"Pillow": "PIL", # Python图像处理库 (PIL Fork)
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"moviepy": "moviepy", # 视频编辑库
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"pydub": "pydub", # 音频处理库
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"pycairo": "cairo", # Cairo 2D图形库的Python绑定
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"wand": "wand", # ImageMagick的Python绑定
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"Pillow": "PIL", # Python图像处理库 (PIL Fork)
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"moviepy": "moviepy", # 视频编辑库
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"pydub": "pydub", # 音频处理库
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"pycairo": "cairo", # Cairo 2D图形库的Python绑定
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"wand": "wand", # ImageMagick的Python绑定
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# ============== 解析与序列化 (Parsing & Serialization) ==============
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"beautifulsoup4": "bs4", # HTML/XML解析库
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"lxml": "lxml", # 高性能HTML/XML解析库
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"PyYAML": "yaml", # YAML解析库
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"python-dotenv": "dotenv", # .env文件解析
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"python-dateutil": "dateutil", # 强大的日期时间解析
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"protobuf": "google.protobuf", # Protocol Buffers
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"msgpack": "msgpack", # MessagePack序列化
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"orjson": "orjson", # 高性能JSON库
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"pydantic": "pydantic", # 数据验证和设置管理
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"beautifulsoup4": "bs4", # HTML/XML解析库
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"lxml": "lxml", # 高性能HTML/XML解析库
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"PyYAML": "yaml", # YAML解析库
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"python-dotenv": "dotenv", # .env文件解析
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"python-dateutil": "dateutil", # 强大的日期时间解析
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"protobuf": "google.protobuf", # Protocol Buffers
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"msgpack": "msgpack", # MessagePack序列化
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"orjson": "orjson", # 高性能JSON库
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"pydantic": "pydantic", # 数据验证和设置管理
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# ============== 系统与硬件 (System & Hardware) ==============
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"pyserial": "serial", # 串口通信
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"pyusb": "usb", # USB访问
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"pybluez": "bluetooth", # 蓝牙通信 (可能因平台而异)
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"psutil": "psutil", # 系统信息和进程管理
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"watchdog": "watchdog", # 文件系统事件监控
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"python-gnupg": "gnupg", # GnuPG的Python接口
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"pyserial": "serial", # 串口通信
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"pyusb": "usb", # USB访问
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"pybluez": "bluetooth", # 蓝牙通信 (可能因平台而异)
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"psutil": "psutil", # 系统信息和进程管理
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"watchdog": "watchdog", # 文件系统事件监控
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"python-gnupg": "gnupg", # GnuPG的Python接口
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# ============== 加密与安全 (Cryptography & Security) ==============
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"pycrypto": "Crypto", # 加密库 (较旧)
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"pycryptodome": "Crypto", # PyCrypto的现代分支
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"cryptography": "cryptography", # 现代加密库
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"pyopenssl": "OpenSSL", # OpenSSL的Python接口
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"service-identity": "service_identity", # 服务身份验证
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"pycrypto": "Crypto", # 加密库 (较旧)
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"pycryptodome": "Crypto", # PyCrypto的现代分支
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"cryptography": "cryptography", # 现代加密库
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"pyopenssl": "OpenSSL", # OpenSSL的Python接口
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"service-identity": "service_identity", # 服务身份验证
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# ============== 工具与杂项 (Utilities & Miscellaneous) ==============
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"setuptools": "setuptools", # 打包工具
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"pip": "pip", # 包安装器
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"tqdm": "tqdm", # 进度条
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"regex": "regex", # 替代的正则表达式引擎
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"colorama": "colorama", # 跨平台彩色终端文本
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"termcolor": "termcolor", # 终端颜色格式化
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"requests-oauthlib": "requests_oauthlib", # OAuth for Requests
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"oauthlib": "oauthlib", # 通用OAuth库
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"authlib": "authlib", # OAuth和OpenID Connect客户端/服务器
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"pyjwt": "jwt", # JSON Web Token实现
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"python-editor": "editor", # 程序化地调用编辑器
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"prompt-toolkit": "prompt_toolkit", # 构建交互式命令行
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"pygments": "pygments", # 语法高亮
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"tabulate": "tabulate", # 生成漂亮的表格
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"nats-client": "nats", # NATS客户端
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"gitpython": "git", # Git的Python接口
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"pygithub": "github", # GitHub API v3的Python接口
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"python-gitlab": "gitlab", # GitLab API的Python接口
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"jira": "jira", # JIRA API的Python接口
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"python-jenkins": "jenkins", # Jenkins API的Python接口
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"huggingface-hub": "huggingface_hub", # Hugging Face Hub API
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"apache-airflow": "airflow", # Airflow工作流管理
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"pandas-stubs": "pandas-stubs", # Pandas的类型存根
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"data-science-types": "data_science_types", # 数据科学类型
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}
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"setuptools": "setuptools", # 打包工具
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"pip": "pip", # 包安装器
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"tqdm": "tqdm", # 进度条
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"regex": "regex", # 替代的正则表达式引擎
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"colorama": "colorama", # 跨平台彩色终端文本
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"termcolor": "termcolor", # 终端颜色格式化
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"requests-oauthlib": "requests_oauthlib", # OAuth for Requests
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"oauthlib": "oauthlib", # 通用OAuth库
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"authlib": "authlib", # OAuth和OpenID Connect客户端/服务器
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"pyjwt": "jwt", # JSON Web Token实现
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"python-editor": "editor", # 程序化地调用编辑器
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"prompt-toolkit": "prompt_toolkit", # 构建交互式命令行
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"pygments": "pygments", # 语法高亮
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"tabulate": "tabulate", # 生成漂亮的表格
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"nats-client": "nats", # NATS客户端
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"gitpython": "git", # Git的Python接口
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"pygithub": "github", # GitHub API v3的Python接口
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"python-gitlab": "gitlab", # GitLab API的Python接口
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"jira": "jira", # JIRA API的Python接口
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"python-jenkins": "jenkins", # Jenkins API的Python接口
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"huggingface-hub": "huggingface_hub", # Hugging Face Hub API
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"apache-airflow": "airflow", # Airflow工作流管理
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"pandas-stubs": "pandas-stubs", # Pandas的类型存根
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"data-science-types": "data_science_types", # 数据科学类型
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}
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