semvec/pypi-packages huggingface dataset:
ancient-scripts 1.0.0
Comprehensive ancient scripts conversion toolkit
License: MIT
Requires Python: >=3.8
Keywords: ancient scripts cuneiform hieroglyph pahlavi linguistics

# Ancient Scripts Converter

📜 A Python package for converting text to ancient writing systems

## Installation
```bash
pip install ancient_scripts
```

## Usage
```python
from   ancient_scripts import AncientScripts

converter = AncientScripts()

# Convert to Cuneiform
cuneiform_text = converter.cuneiform("سلام")

# Convert to Hieroglyph
hieroglyph_text = converter.hieroglyph("خدا")
```

## Supported Scripts
- Cuneiform
- Egyptian Hieroglyphs
- Pahlavi script
- Manichaean script
- Linear B
- And more...
nonebot-plugin-custom-face 0.1.1
提供了关于QQ自定义表情的API
License: MIT
Requires Python: <4.0,>=3.9

<div align="center">
  <a href="https://v2.nonebot.dev/store"><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/nbp_logo.png" width="180" height="180" alt="NoneBotPluginLogo"></a>
  <br>
  <p><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/NoneBotPlugin.svg" width="240" alt="NoneBotPluginText"></p>
</div>

<div align="center">

# nonebot-plugin-custom-face

_✨ QQ 自定义表情相关 API  ✨_

<div align="left">

## 📖 介绍

提供了刷新自定义表情列表，发送自定义表情等 API

## 💿 安装

<details open>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details>
<summary>pip</summary>

    pip install nonebot-plugin-custom-face
</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_custom_face"]

</details>

## 用法

```python
from nonebot import require, on_startswith
from nonebot.adapters.onebot.v11 import Bot, MessageEvent

require("nonebot_plugin_custom_face")

from nonebot_plugin_custom_face import send_custom_face, update_custom_face_list

@on_startswith("test").handle()
async def handle(bot: Bot, event: MessageEvent):
    #刷新一下表情列表
    await update_custom_face_list(bot)
    #<face_1>是本地的表情列表中的表情id，按添加的时间从小到大排序，对于手机版QQ来说，自定义表情中的最旧一个(也就是列表最下边的一个)的本地表情列表中的id为 face_1
    send_face_id = 'face_1'
    await send_custom_face(bot, event, send_face_id)
```
cinol 0.1.0
Python Code Protection Toolkit (Obfuscation + Encryption + License)
License: MIT
Keywords: obfuscation, encryption, license, protection

# Cinol - Python Code Protection Toolkit

[![PyPI Version](https://img.shields.io/pypi/v/cinol)](https://pypi.org/project/cinol/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Versions](https://img.shields.io/pypi/pyversions/cinol)](https://pypi.org/project/cinol/)

Cinol adalah toolkit Python untuk melindungi kode dari pembajakan dengan teknik:
- **Obfuskasi** (pengaburan kode)
- **Enkripsi Bytecode** (AES-256 + GCM)
- **Manajemen Lisensi** (RSA + Signature)
- **Proteksi Runtime** (anti-debug, checksum)

## 🔥 Fitur Utama

- **Obfuskasi AST** - Mengaburkan nama variabel/fungsi
- **Enkripsi Berlapis** - AES-256 untuk bytecode + RSA untuk lisensi
- **Validasi Lisensi** - Online/offline dengan signature digital
- **Self-Decrypting** - Eksekusi kode terenkripsi tanpa file sisa
- **Anti-Tampering** - Deteksi modifikasi kode

## 📦 Instalasi

```bash
pip install cinol
ancient-scripts-converter 1.0.3
Comprehensive ancient scripts conversion toolkit
License: MIT
Requires Python: >=3.8
Keywords: ancient scripts cuneiform hieroglyph pahlavi linguistics

# Ancient Scripts Converter

📜 A Python package for converting text to ancient writing systems

## Installation
```bash
pip install ancient-scripts
```

## Usage
```python
from ancient_scripts_converter import AncientScripts

converter = AncientScripts()

# Convert to Cuneiform
cuneiform_text = converter.cuneiform("سلام")

# Convert to Hieroglyph
hieroglyph_text = converter.hieroglyph("خدا")
```

## Supported Scripts
- Cuneiform
- Egyptian Hieroglyphs
- Pahlavi script
- Manichaean script
- Linear B
- And more...
knowledge-devourer 1.0.5
Tool for downloading everything from instagram posts or reels. Video, audio extraction, meta data, video previews, text transcription of video.
License: MIT
Requires Python: >=3.12
Keywords: content, downloader, instagram, meta-data, transcription, srt, reels, posts

# Installation

pip install knowledge-devourer

# Dependencies
- ffmpeg
- Subwhisperer https://github.com/Smarandii/subwhisperer

# CUDA
```commandline
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
```

## Check if CUDA is available:

```commandline
python -c "import torch; print(torch.cuda.is_available())"
```