semvec/pypi-packages huggingface dataset:
localstack-extensions-utils 0.1.0
Utility library for LocalStack Extensions
Requires Python: >=3.10
Keywords: LocalStack, Extensions, Utils

LocalStack Extensions Utils
===========================

A utility library providing common functionality for building [LocalStack Extensions](https://github.com/localstack/localstack-extensions).

## Usage

To use this library in your LocalStack extension, add it to the `dependencies` in your extension's `pyproject.toml`:

```toml
[project]
dependencies = [
    "localstack-extensions-utils",
]
```

Or, to install directly from the GitHub repository:

```toml
[project]
dependencies = [
    "localstack-extensions-utils @ git+https://github.com/localstack/localstack-extensions.git#subdirectory=utils",
]
```

Then import the utilities in your extension code, for example:

```python
from localstack_extensions.utils import ProxiedDockerContainerExtension

...
```

## Dependencies

This library requires LocalStack to be installed as it uses various LocalStack utilities for Docker management and networking.

## License

The code in this repo is available under the Apache 2.0 license.
mdproc 0.3.1
A tool to process markdown files.
Requires Python: >=3.10
Keywords: jpg, markdown, png, process

# mdproc

A simple Python tool to process markdown files.

## Features

- Markdown Image Uploader to COS.
- Convert Markdown tables to images and upload to COS. (dependency: playwright)
- Convert mermaid chart to image.  (dependency: playwright)

## Config

`.env` or configure environment variables:

```
COS_SECRET_ID=<xyz>
COS_SECRET_KEY=<xyz>
COS_REGION=<xyz>
COS_BUCKET=<xyz>
```

## Usage

- Install dependencies:
  ```bash
  pip install mdproc
  playwright install chromium
  ```
- Markdown images upload:
  ```bash
  mdproc-imgupload your_markdown.md
  ```
- Markdown table to image:
  ```bash
   mdproc-table2img your_markdown.md
  ```
- Markdown mermaid to image:
  ```bash
   mdproc-mermaid2img your_markdown.md
  ```

## Demo

demo.md:

```
![first-version](https://www.python.org/static/img/python-logo.png)
```

demo_output.md

```
![first-version](https://pic-1251484506.cos.ap-guangzhou.myqcloud.com/imgs/python-logo_ae79195a.png)
```

## mermaid2img Benchmark

Note: Browser is Chromium. mermaid-cli use puppeteer.

| mermaid2img | Cold Start /s | Warm Start /s |
| --------------------------------- | ------------- | ------------- |
| playwright (memaidjs cdn) | 2.5 | 1.5 |
| playwright (local mermaid bundle) | 2.5 | 1.5 |
| mermaid-cli | 5.7 | 3.7 |

## License

Apache License
mesh2scattering 1.0.4
Numerical calculation of surface scattering.
Requires Python: >=3.9
Keywords: acoustics, pyfar

# Mesh2scattering

[![PyPI version](https://badge.fury.io/py/mesh2scattering.svg)](https://badge.fury.io/py/mesh2scattering)
[![Documentation Status](https://readthedocs.org/projects/mesh2scattering/badge/?version=latest)](https://mesh2scattering.readthedocs.io/en/latest/?badge=latest)
[![CircleCI](https://circleci.com/gh/ahms5/mesh2scattering.svg?style=shield)](https://circleci.com/gh/ahms5/mesh2scattering)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pyfar/gallery/main?labpath=docs/gallery/interactive/pyfar_introduction.ipynb)

Mesh2scattering is based on [Mesh2HRTF](https://github.com/Any2HRTF/Mesh2HRTF) and is an open-source project aiming an easy-to-use software package for the numerical calculation of scattering pattern and scattering and diffusion coefficients of any surface. In a nutshell, Mesh2scattering consists of five parts:

- input: prepares geometrical data and acoustic parameters for the simulation,
- numcalc: based on the input from ``input``, it calculates the corresponding sound field
- output: processes the output from NumCalc to scattering pattern.
- process: processes the output to scattering and/or diffusion coefficients.
- utils: helping functions.

Please notice that this project does not support HRTF post processing, use [Mesh2HRTF](https://github.com/Any2HRTF/Mesh2HRTF) instead.

## Getting Started

Check out the examples folder for a tour of the most important mesh2scattering
functionality and [read the docs](https://mesh2scattering.readthedocs.io/en/latest) for the complete documentation.

## Installation

Use pip to install mesh2scattering

```bash
pip install mesh2scattering
```

(Requires Python 3.9 or higher)

For Windows the exe is downloaded automatically.
For Linux and MacOS NumCalc is build automatically, note that this requires
the ``build-essential`` on Linux and ``xcode`` on mac.
In the [contributing guidelines](https://mesh2scattering.readthedocs.io/en/stable/contributing.html), you will find a complete Instructions for
manual building.

## Contributing

Check out the [contributing guidelines](https://mesh2scattering.readthedocs.io/en/stable/contributing.html).
hxppy-archivator 1.1.0
CLI-утилита для упаковки исходного кода в текстовый файл и его последующей распаковки.
Requires Python: >=3.9

# 🚀 hxppy-archivator

[![PyPI version](https://img.shields.io/pypi/v/hxppy-archivator.svg)](https://pypi.org/project/hxppy-archivator/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Versions](https://img.shields.io/pypi/pyversions/hxppy-archivator.svg)](https://pypi.org/project/hxppy-archivator/)

**hxppy-archivator** — это стильная и быстрая CLI-утилита для упаковки вашего проекта в один текстовый файл. Она идеально подходит для передачи контекста вашего кода в LLM (ChatGPT, Claude) или создания структурированных бэкапов.

## ✨ Особенности

* **Умное игнорирование**: Полная поддержка вашего `.gitignore`. Лишние файлы (venv, .git, кэши) не попадут в архив.
* **Rich UI**: Красивые прогресс-бары и статус-бары прямо в терминале.
* **Двусторонний процесс**: Легко упаковывайте (`pack`) и распаковывайте (`unpack`) проекты с сохранением структуры папок.
* **LLM Friendly**: Формат выходного файла оптимизирован для чтения нейросетями.

## 📦 Установка

Самый простой способ — установить напрямую из PyPI:

```bash
pip install hxppy-archivator

```

## 🚀 Быстрый старт

### Упаковка проекта

Чтобы собрать все файлы текущей папки в один файл `context.txt`:

```bash
hxppy pack context.txt

```

### Распаковка проекта

Чтобы восстановить файлы из архива:

```bash
hxppy unpack context.txt

```

## 🛠 Разработка

Если вы хотите внести изменения в проект:

1. Клонируйте репозиторий:
```bash
git clone https://github.com/HxppyCompany/hxppy-archivator.git

```


2. Установите зависимости в режиме редактирования:
```bash
pip install -e .

```



## 📄 Лицензия

Распространяется под лицензией MIT. Подробности в файле [LICENSE](https://www.google.com/search?q=LICENSE).

---

*Сделано с ❤️ для тех, кто любит чистый код и эффективную работу с ИИ.*