SamirTalwar / predestination

Several implementations of Conway's Game of Life.

Predestination

Several implementations of Conway's Game of Life.

Building

This project uses Python 3.6 and pipenv.

First, install the dependencies with pipenv install.

Then just run make to create an environment and all the application dependencies.

Running

It's probably easiest to start with the CLI.

Running as a command-line application

Just run ./cli. Run ./cli --help for options.

Running as a web application

Just run ./web. It accepts the same options as ./cli, and you can set the PORT environment variable to change the port.

Styles

You can configure the application to use a different style of iteration.

There are currently three styles, which can be specified on the command line (e.g. ./cli neural-network).

• translate (the default) uses matrix translation to calculate the next generation.
• mapping uses a huge lookup table.
• neural-network uses a basic 3-layer neural network, which requires training first. To train it, run PYTHONPATH=src python ./src/styles/neural_network.py.

Input

By default, Predestination generates a random, uniformly-distributed game the same size as your window, and then iterates from there. To use a file as the starting game instead, just pass it using the --file option. You can see an example in test/fixtures/glider.life.