semvec/pypi-packages huggingface dataset:
megarnucleusx13 0.0.2.5b2
MeganR Nucleus X13 - Bot medio-avanzado con vocabulario, razonamiento y personalidad.
Requires Python: >=3.6

# MeganR Nucleus X13
MeganR Nucleus X13 es una IA experimental desarrollada en Python.  
Actualmente en fase beta pero con mas estabilidad y menos margen de errores en eata nueva version a cambiado mucho (`0.0.2.5b1`), con un sistema de tokenización básico, respuestas predefinidas y vocabulario expandido.

## Instalación
```bash
pip install megarnucleusx13

# usos de ejemplo
ejecutar una conversacio directamente en la consola python clip_beta1.py a conrinuacion pruebaw y comandos

# Pruebas y comandos:



hola → respuesta fija extendida.

hola; o hola! → tokenizador debe limpiar y dar la misma respuesta.

😀 o 😊 → primer uso emoji produce mensaje especial.

/teach unicornio → añade unicornio al vocab y guarda.

/def unicornio → crea/retorna definición automática.

/read abc → devuelve [1,2,3] (lectura beta).

/stats → ver estadísticas
zwergetl-components-aws-s3 0.1.11
ZwergETL components for AWS s3
Requires Python: >=3.6

ZwergETL Components for AWS S3
===============================

Components for ZwergETL framework for working with S3 storage engines
compatible with AWS S3.

This package includes the following components:

1. `S3CopyFiles` - downloads files from S3 bucket, then uploads them to another S3 bucket.
2. `S3CopyFilesDirect` - copies files directly from one S3 bucket to another
   without downloading them.
processamento-imagens-ahaerdy 0.0.1
Pacote simples para aplicar transformações e filtros em imagens usando Python e Pillow.
Requires Python: >=3.8

# processamento-imagens

Pacote simples para aplicar transformações e filtros em imagens usando Python e Pillow.

## Instalação
```bash
pip install processamento-imagens
```

## Uso
```python
from processamento_imagens import aplicar_filtro_pb, redimensionar

# Converter para preto e branco
aplicar_filtro_pb("entrada.jpg", "saida_pb.jpg")

# Redimensionar
redimensionar("entrada.jpg", "saida_red.jpg", 200, 200)
```

## Requisitos
- Python >= 3.8
- Pillow
dipswitch-svg 0.1.2
SVG generation for dipswitch documentation
Requires Python: >=3
Keywords: svg, dipswitch

# dipswitch_svg

![release badge](https://codeberg.org/pengumc/dipswitch_svg/badges/release.svg)

SVG generation for dipswitch documentation

Also available online: https://pengumc.codeberg.page/dipswitch_svg/

Example output:  
![Note: image not available on pypi, see source repo](./example.svg)

## Usage

```py
from dipswitch_svg import dipswitch
svg_text = dipswitch("dipswitch 1", range(1, 9), 0x1)
```

## Installation

```shell
pip install dipswitch-svg
```
tsingspider 1.5.0
A spider library of several data sources
Requires Python: >=3.9

# DataSpider

![Upload Python Package](https://github.com/TsingJyujing/DataSpider/workflows/Upload%20Python%20Package/badge.svg)

A spider framework with several internal spiders.

## Thanks

Thanks [JetBrains](https://www.jetbrains.com/?from=yifan.yuan) provided FREE [PyCharm](https://www.jetbrains.com/pycharm/?from=yifan.yuan) Professional for this project.

[<img src=".jetbrains/jetbrains.png" width="180">](https://www.jetbrains.com/?from=yifan.yuan)

## Install

```bash
pip install --upgrade tsingspider
```

## Features

- Light-weight: do not have to start browser simulator, won't cost lots of resources
    - But not all the website can download in this way
- Lazy: won't download anything before you actually use the data
- Useful Utilities
    - Support HLS download
    - Support cookies from firefox
    - Support Proxies
    - Generate magnet link from torrent data

## Write Your Own Spider

To define a resource, you can use `LazySoup` or `LazyContent`.
`LazyContent` is for binary data, basically all kinds of the data are binary.
`LazySoup` is for the XML format resource, widely be used for downloading web-page.

For example:

```python
from tsing_spider.util import LazySoup, LazyContent

class YourOwnSpider(LazySoup):
    def __init__(self, url:str):
        LazySoup.__init__(self, url)

    @property
    def some_info(self) -> str:
        """
        Extract information from self.soup
        the data will be downloaded at the first time of using it
        """
        pass
```
test-enie 0.2.1
CLI tool to auto-generate test cases for your code
Requires Python: >=3.7

# 🧪 TestGenie - Instantly Generate Test Cases from Your Terminal

**TestGenie** is a fast, intuitive CLI tool designed for developers who want to generate meaningful test cases from their source code - without ever leaving the terminal.

No more toggling between browser tabs, writing boilerplate, or wasting hours on trivial tests. TestGenie bridges your code with AI-powered suggestions tailored for your language and logic. 

*Currently, it uses online AI agents for test cases generation, but an offline mode is coming soon. Stay tuned!*

---

## ✨ Features

- 🔍 **Language-aware test generation** (Python, C++) [more coming soon]
- ⚡ **CLI-first experience** - stay in your flow
- 🧠 Powered by context-aware agents
- 🌐 Syncs with your online dashboard
- 🔐 Lightweight auth system
- 📊 Usage tracking (for you and your team)

---

## 🚀 Installation

TestGenie requires Python 3.8+

Install directly from PyPI:

```bash
pip install test-genie
```
---

## 🛠 Usage

Generate test cases from your CLI:

```bash
test-genie generate --path path/to/your_file.py
```

You can also specify the language explicitly:

```bash
test-genie generate -pt path/to/your_file.cpp -l cpp
```

Authenticate once:

```bash
test-genie login
```

If you don't have an account, register quickly on our website: https://thetestgenie.com

---

## 🌐 Dashboard

Visit our dashboard (https://thetestgenie.com/dashboard) to view your usage, premium status, recent generation history, and more.

---

## 💡 Use Cases

- Quickly bootstrap test coverage on legacy projects
- Generate starter tests for new logic
<!-- - Integrate with CI to flag untested critical paths -->
- Empower junior devs with example-driven TDD

---

## 📦 Publishing / Contributing

Want to contribute or self-host the backend? Instructions are coming soon. For now, feel free to mail me at wadhwakushagra01@gmail.com

---

## 📃 License

MIT © 2025 TestGenie Team