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A Python package for manipulation of patterns in cellular automata.

Project description

pocketlife

A Python package for manipulation of patterns in cellular automata.

Introduction

This is my first Python package, and it contains functions for manipulating patterns in cellular automata. It was inspired by the much faster lifelib by Adam P. Goucher, but unlike lifelib, this package:

  • Is written entirely in Python.
  • Works regardless of OS and CPU architecture. It is very slow, however, and so it is mostly written as a test.

Classes

Cellular automata functionality is implemented through the class lifetree. A lifetree is responsible for the actual simulation, using an extremely basic algorithm and an unbounded grid. It does this as a backend to the class Pattern, which stores a dictionary of live cells. The syntax is very similar to lifelib, with patterns being advanced using pt[gens], and many functions and properties are similar as well.

Documentation

Documentation on the lifetree and Pattern classes can be found in /doc.

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