semvec/pypi-packages huggingface dataset:
pyvlq 0.1.1
A Python library for pure Python encoding and decoding of integers using Variable-length quantity.
Requires Python: >=3.8
Keywords: VLQ, Variable-length quantity, VINT, integer, encoding, decoding

# pyvlq
pyvlq is a Python library for encoding and decoding `Variable-Length Quantity <https://en.wikipedia.org/wiki/Variable-length_quantity>`_.

The library is available on PyPI and can be installed using pip:

```bash
pip install pyvlq
```

## Usage
```python
from io import BytesIO
import pyvlq

# Encode
encoded = pyvlq.encode(128)
print(encoded) # b'\x81\x00'

# Decode
decoded = pyvlq.decode(encoded)
print(decoded) # 128

# Decode from readable bytes
buffer = BytesIO(b'\x81\x00\xff\xff')
decoded = pyvlq.decode_stream(buffer)
print(decoded) # 128 (0xff\xff is ignored)
print(buffer.read(2)) # b'\xff\xff' (0xff\xff is left in the buffer)
```
andromeda-nlp 1.0.1
Easy longform text generation.
Requires Python: <4.0,>=3.8

# andromeda

[![build](https://github.com/mchaney-dev/andromeda/actions/workflows/test_build.yml/badge.svg)](https://github.com/mchaney-dev/andromeda/actions/workflows/test_build.yml) [![release](https://github.com/mchaney-dev/andromeda/actions/workflows/test_release.yml/badge.svg)](https://github.com/mchaney-dev/andromeda/actions/workflows/test_release.yml) [![docs](https://readthedocs.org/projects/andromeda-nlp/badge/?version=latest)](https://andromeda-nlp.readthedocs.io/en/latest/?badge=latest)

Easy longform text generation.

## Known Issues
- Some modules are not being imported properly when the package is downloaded from PyPi. **PyPi releases have been yanked temporarily.**

## Roadmap
- [x] Add base features (ability to save/load model, change model configuration, training and eval utilities)
- [ ] Add utility functions for running the package in a Google Colab instance
- [ ] Add visualizers for training and evaluation
- [ ] Add live Google Colab demo to documentation

## Installation
Install from PyPI:
```
pip install andromeda-nlp
```

## Documentation
Read the documentation for this project [here.](https://andromeda-nlp.readthedocs.io/en/latest/)

## Goals
- Serve as an easy-to-understand introduction to text generation, even for those with little to no programming experience
- The package should be modular and expandable; contributions are always encouraged

## Contributing
To contribute, [look at open issues](https://github.com/mchaney-dev/andromeda/issues), fork the repository and open a pull request with your changes. Or, if you experience an issue, please open one!