golpy 0.2.0

Efficient Conway's Game of Life using NumPy

GoLPy

GoLPy is an efficient Conway's Game of Life implemented in Python using NumPy.

Example Output

The following GIF can be generated using the command:

life --demo glidergun --out glider_gun.gif --ppc 10 --pos TL -W60 -H40

Installation

pip install golpy

Usage

usage: life [-h] (-i GRID_INPUT | -d DEMO) [-o FILE | --debug-print]
            [-W WIDTH] [-H HEIGHT] [-M MAX_GEN] [--ppc PIXELS] [-P POSITION]
            [-p]

optional arguments:
  -h, --help            show this help message and exit
  -i GRID_INPUT, --in GRID_INPUT
                        Parse the initial grid from <GRID_INPUT>
  -d DEMO, --demo DEMO  Try one of the provided demos: one of 'glidergun' and
                        'glidergen'
  -o FILE, --out FILE   Place the output into <FILE>
  --debug-print         Print the generated frames directly to the terminal,
                        instead of saving them

  -W WIDTH, --width WIDTH
                        Width of the grid
  -H HEIGHT, --height HEIGHT
                        Height of the grid

  -M MAX_GEN, --max-gen MAX_GEN
                        Number of generations to simulate
  --ppc PIXELS          Set the width and the height of each cell to <PIXELS>
  -P POSITION, --pos POSITION
                        One of 'C', 'T', 'B', 'L', 'R', 'TL', 'TR', 'BL', and
                        'BR'

  -p, --profile         Measure the performance

Input Format

........................O
......................O.O
............OO......OO............OO
...........O...O....OO............OO
OO........O.....O...OO
OO........O...O.OO....O.O
..........O.....O.......O
...........O...O
............OO

Use . for a dead cell, O (chr(79)) for a live cell.

License

MIT