py-conway 0.6.0

TDD-style implementation of Conway's Game of Life in Python

py-conway

TDD-style implementation of Conway's Game of Life in Python. Built with zero dependencies in order to be portable to Web, CLI and embedded applications (like MicroPython and CircuitPython).

View Project on PyPi

Installation

pip install py-conway

Usage

To create a game, you'll need to provide dimensions and a starting two-dimensonal list to function as the game board. For example:

from py_conway import Game

seed = [[0, 1, 0],
        [1, 1, 1],
        [0, 1, 0]]

new_game = Game(3, 3, seed)

If no seed is provided, the game can either generate a seed of zeroes, or a random starter seed. use the random=True positional argument to generate a random seed.

new_game = Game(12, 12, random=True)

Once the game board is populated, call the start() method. The game values and state will be initialized so you can interact with the board one step at a time. You can also use this method to re-initialize the game:

new_game.start()

You can also instruct the game to self-run with the ThreadedGame class and start_thread() method. The game will start on a background thread and update the full game board as well as a number of informational instance variables:

from py_conway import ThreadedGame

threaded_game = ThreadedGame(12, 12, random=True)

threaded_game.start_thread()

threaded_game.current_board # hold the complete game state after each step
threaded_game.live_cells # the count of live cells on the board
threaded_game.generations # the number of steps elapsed in the current game.

threaded_game.stop_thread()

It's also possible to call the run_generation() method and control the game state yourself from one iteration to the next. Make sure you call the start() method first:

new_game.run_generation()

According to the rules of Conway's Game of Life, the board is meant to be infinite. If you wish to emulate this behavior in your own games, you can wrap the board around on itself with the initialization flag enforce_boundary, which is true by default.

seed = [[1, 0, 0, 0],
        [1, 0, 0, 0],
        [1, 0, 0, 0],
        [0, 0, 0, 0]]

new_game = Game(4, 4, seed=seed, enforce_boundary=False)

If the above code is run for a single generation, the board will look like this

[[0, 0, 0, 0],
 [1, 1, 0, 1],
 [0, 0, 0, 0],
 [0, 0, 0, 0]]

Here's an example that runs the game and plots the game board after intialization and the first generation. You can run this from the example folder, either in a Jupyter notebook or standalone script:

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from py-conway import Game

my_game = Game(12, 12, random=True, enforce_boundary=False)
my_game.start()

board, ax = plt.subplots()
plt.title("Conway's Game of Life")

ylim, xlim = my_game.board_size

ax.set_xlim(0, xlim)
ax.set_ylim(0, ylim)

image = plt.imshow(my_game.current_board, animated=True, cmap='binary')


def update(*args, **kwargs):
    my_game.run_generation()
    plt.xlabel(f"Generation: {my_game.generations} |\
                Population: {my_game.live_cells}")
    image.set_array(my_game.current_board)
    return image,


conway_animation = FuncAnimation(board, update, interval=50, blit=True)
plt.show()