EAT is a Python implementation of the algorithms described in the research paper "Evolution of Algebraic Terms 4: Biological Beam Algorithms." Given an arbitrary performance specification, the program systematically designs digital circuits using binary logic on groupoids of size 3 or larger. The program's success is documented by its ability to consistently find such designs from an incredibly vast search space in fractions of a second.

EAT designed to be run as a stand alone Command Line Application (CLI). To install it you will need to open the command line (terminal) on your computer and use PIP, the standard package manager for Python.

A command line application is a program you run by typing commands in a text-based interface called a "terminal" or "command prompt." Instead of clicking buttons with your mouse, you type instructions and press Enter. Think of it like having a conversation with your computer using text commands.

1. Press Windows key + R
2. Type cmd and press Enter
3. A black window will open - this is your command prompt

1. Press Command + Space to open Spotlight
2. Type terminal and press Enter
3. A window will open - this is your terminal

1. Press Ctrl + Alt + T or search for "Terminal" in your applications

• Python 3.7 or higher (Download Python)
• pip (usually comes with Python)

Check your Python version by typing the following on the terminal and clicking ENTER on your keyboard:

python --version

To install choose the option that best suits you and type the commands on the terminal. Submit each command by pressing ENTER on your keyboard.

pip install evolution-of-algebraic-terms

For modifying the code:

git clone https://github.com/nick-falco/eat.git
cd eat
pip3 install -e .

Or:

python3 setup.py develop

# Create virtual environment
python -m venv env

# Activate it
# Windows:
env\Scripts\activate
# macOS/Linux:
source env/bin/activate

# Install EAT
pip install evolution-of-algebraic-terms

python -c "import eat; print('EAT installed successfully!')"

Please see the 📘 EAT Wiki for detailed program usage examples.

Import Error:

ModuleNotFoundError: No module named 'eat'

Solution: pip install evolution-of-algebraic-terms

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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

The source code for this project is organized as follows:

eat/
├── README.md                 # Project documentation
├── LICENSE                   # Project usage license
├── setup.py                  # Package installation
└── eat/                      # Main package
    ├── runeat.py             # Main entry point
    ├── core/                 # Core mathematical components
    ├── beam_algorithm/       # Biological beam algorithms
    ├── deep_drilling_algorithm/  # Deep drilling algorithm
    ├── utilities/            # Helper functions
    ├── tests/                # Test suite

[0] L. Spector, D. Clark, B. Barr, J. Klein, I. Lindsay, Genetic programming for finite algebras,
GECCO 2008 Proceedings, pp 1291-1298.

[1] David M. Clark, Evolution of algebraic terms 1: Term to term operation continuity,
International Journal of Algebra and Computation, Vol. 23, No. 5 (2013) 1175–1205.

[2] David M. Clark, Maarten Keijzer, Lee Spector, Evolution of algebraic terms 2: Deep drilling algorithm,
International Journal of Algebra and Computation, Vol. 26, No. 6 (2016) 1141–1176.

[3] David M. Clark, Lee Spector, Evolution of algebraic terms 3: evolutionary algorithms,
International Journal of Algebra and Computation, Vol. 28, No. 5 (2018).

[4] David M. Clark, Nicholas C. Falco, Evolution of algebraic terms 4, Biological beam algorithms, (in preparation).