Metadata-Version: 2.4
Name: moam
Version: 0.1.1
Summary: MoaM (Model of All Models) - A placeholder package
Home-page: https://github.com/ahe6/MoaM
Author: Austin
Author-email: Austin <austin@moam.ai>
Project-URL: Homepage, https://github.com/ahe6/MoaM
Project-URL: Bug Tracker, https://github.com/ahe6/MoaM/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# MoaM

A placeholder Python package ready for distribution on PyPI and conda-forge.

## Installation

### From PyPI

```bash
pip install MoaM
```

### From source

```bash
git clone https://github.com/ahe6/MoaM.git
cd MoaM
pip install -e .
```

## Usage

```python
import MoaM

print(MoaM.hello())  # Output: Hello from MoaM!
```

## Development

To install development dependencies:

```bash
pip install -e ".[dev]"
```

## Building and Publishing

### Building the package

```bash
python -m build
```

### Publishing to PyPI

First, install twine:

```bash
pip install twine
```

Then upload to PyPI:

```bash
twine upload dist/*
```

### Publishing to conda-forge

1. Fork https://github.com/conda-forge/staged-recipes
2. Create a new branch for your recipe
3. Add your recipe in `recipes/MoaM/meta.yaml`
4. Submit a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
