semvec/pypi-packages huggingface dataset:
turintech-platform 1.1.2
Utils for platform information (system and machine architecture)
Requires Python: <=3.13,>=3.8

# Platform utilities

Utils related with platform information (system and machine architecture).

### Table of Contents

- [ArchitectureType enumerate](#architecturetype)
- [Platform information](#platform-information)
    - [Platform details](#platform-details)
    - [Platform naming](#platform-naming)

---

## ArchitectureType

Enumerate type of the architecture types detected in this library.

```python
from core_platform.platform_types import PlatformType
from core_platform.platform_utils import get_architecture_type

architecture: PlatformType = get_architecture_type()
# architecture = ArchitectureType.LINUX_x86_64
```

## Platform information

### Platform details

```python
from core_platform.platform_utils import get_platform_info

system, machine, is_64bit = get_platform_info()
# system: str = "linux"
# machine: str = "x86_64"
# is_64bit: bool = True
```

### Platform naming

```python
from core_platform.platform_utils import get_platform

platform_name: str = get_platform()
# platform = "linux_x86_64"
```
ezyfiles 0.1.0
Truly Simple File Operations for Python
Requires Python: >=3.6

# ezfiles: Truly Simple File Operations

A beginner-friendly Python library that simplifies common file operations.

## Features

- **Universal Read/Write**: One function to read any file format
- **Format Conversion**: Convert between file formats with one line of code
- **Easy File Search**: Find files matching patterns without complex syntax
- **File Information**: Get file metadata quickly and easily

## Installation

```bash
pip install ezfiles
```

## Quick Start

```python
import ezfiles

# Read any file (auto-detects format)
data = ezfiles.read("myfile.csv")  # Works for .txt, .csv, .json, .xlsx, etc.

# Write data to any format
ezfiles.write(data, "output.json")  # Same function for all formats

# Convert between formats
ezfiles.convert("data.json", "data.csv")

# Find files easily
files = ezfiles.find("*.txt")  # Find all text files in current directory
more_files = ezfiles.find("*.csv", "/path/to/data", recursive=True)  # Search recursively

# Get file information
info = ezfiles.info("myfile.csv")
print(f"File size: {info['size_mb']} MB")
print(f"Last modified: {info['modified']}")
```

## Supported File Formats

- CSV files (.csv)
- Excel files (.xlsx, .xls)
- JSON files (.json)
- YAML files (.yaml, .yml)
- Text files (.txt and others)

## Requirements

- Python 3.6+
- pandas
- openpyxl
- pyyaml

## License

MIT License
chatgpt-mirai-qq-bot-email 0.3.1
收发邮件 for lss233/chatgpt-mirai-qq-bot，提供收取未读邮件和发送邮件的block，首次发送或收取邮件请一并提供发件人邮箱和授权码（授权码获取路径：qq邮箱-设置-账号与安全-安全设置-开启服务-获取授权码）
Requires Python: >=3.8

# email for kirara-ai

本项目是 [ChatGPT-Mirai-QQ-Bot](https://github.com/lss233/kirara-ai) 的一个插件，用于在工作流中配置定时任务，同时提供auto_tool的聚合block，实现对定时任务增删查的自动调用。

## 安装

```bash
pip install kirara-ai-email
```

## 使用

在 chatgpt-mirai-qq-bot的web_ui中配置  
使用示例请参考 [kirara_email/example/sendEmail.yml](kirara_email/example/sendEmail.yaml)    

## 开源协议

本项目基于 [kirara-ai](https://github.com/lss233/kirara-ai) 开发，遵循其 [开源协议](https://github.com/lss233/chatgpt-mirai-qq-bot/blob/master/LICENSE)

## 感谢

感谢 [kirara-ai](https://github.com/lss233/kirara-ai) 的作者 [lss233](https://github.com/lss233) 提供框架支持
textin 0.1.0
Add your description here
Requires Python: >=3.8

# MCP TextIn Service

这是一个基于TextIn API的MCP服务，提供文档转换、信息提取和图像增强功能。

## 安装

```bash
pip install mcp-textin
```

## 环境变量配置

使用前需要设置以下环境变量：

```bash
export TEXTIN_APP_ID="your_app_id"
export TEXTIN_SECRET_CODE="your_secret_code"
```

## 支持的文件格式

- 文档转换：PNG, JPG, JPEG, PDF, BMP, TIFF, WEBP, DOC, DOCX, HTML, MHTML
- 信息提取：PNG, JPG, JPEG, DOC, DOCX, PDF, OFD, XLSX, XLS
- 图像增强：所有常见图像格式

## 许可证

MIT License