Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

Zeta611/golpy

Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GoLPy

GitHub license PyPI Code style: black

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

The Gosper Glider Gun

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

To use without installing,

python -m golpy # ...

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

About

Efficient Conway's Game of Life implemented in Python using NumPy.

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages

Morty Proxy This is a proxified and sanitized view of the page, visit original site.