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https://github.com/scottyvenable/evo

Evolution Simulation Game
https://github.com/scottyvenable/evo

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Evolution Simulation Game

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# Evo - Evolution Simulation

## Description

Evo is an open-source early access evolution simulation game where you can create and observe evolving organisms in a virtual environment. Watch as organisms adapt, reproduce, and interact with their surroundings. It's a simple yet fascinating way to explore the concepts of natural selection and evolution.

Features:
- Create and observe evolving organisms.
- Control the game's parameters, including population size, mutation rate, and more.
- Watch organisms adapt to their environment over time.
- Experience the thrill of survival of the fittest.

## Installation

1. Clone the repository to your local machine:
```
git clone https://github.com/ScottyVenable/evo.git
```

2. Navigate to the project directory:
```
cd evo
```

3. Install the required Python packages (ensure you have Python and pip installed):
```
pip install -r requirements.txt
```

## Usage

1. Run the game:
```
python main.py
```

2. Use the following controls:
- Space: Pause/unpause the game
- R: Reset the game
- Q: Spawn food
- E: Spawn organism
- Right Arrow: Increase game speed
- Left Arrow: Decrease game speed

3. Observe and enjoy the evolving organisms!

## Contributing

We welcome contributions from the community. If you'd like to contribute to the project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix:
```
git checkout -b feature/your-feature-name
```

3. Make your changes and commit them:
```
git commit -m "Add new feature"
```

4. Push your changes to your forked repository:
```
git push origin feature/your-feature-name
```

5. Create a pull request to the main repository. We'll review your changes and merge them if they fit the project.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- Thanks to the open-source community for providing tools and resources.
- Inspired by the concept of natural selection and evolution.