Metadata-Version: 2.4
Name: nanobench
Version: 0.1.0
Summary: Eval framework
Author-email: Mathias Lechner <mathias@liquid.ai>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/nanobench
Project-URL: Repository, https://github.com/yourusername/nanobench
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# nanobench

A simple Python package that prints "hello world".

## Installation

You can install nanobench from PyPI:

```bash
pip install nanobench
```

## Usage

### As a Python module

```python
from nanobench import hello

hello()
```

### As a command-line tool

```bash
nanobench
```

Both will output: `hello world`

## Development

To install in development mode:

```bash
pip install -e .
```

## Publishing to PyPI

1. Build the package:
   ```bash
   pip install build
   python -m build
   ```

2. Upload to PyPI:
   ```bash
   pip install twine
   twine upload dist/*
   ```

## License

MIT
