A small package for simulating simple cellular automata.
Whilst being very bored recently I started playing around with simulating cellular automata once again. But to challenge myself a bit more than usual I set three specific limitations that made this a bit harder than I was used to:
- The simulation functions should be able to handle n-dimensional rules and states.
- The rules should be given as integers.
- The state should be represented as an integer, making use of the fact that the whole state consists of a n-dimensional array of booleans that can be flattened.
Another additional burden I put on to myself was to implement multiple unique styles of rules:
- Pattern based rules, such as the popular 110 or 30.
- Neighbor count based rules, such as Conway's Game of Life.
pip install pycells
pycellsand check what options you have
- clone this repo
- setup virtualenv using python
I implemented both a cli and a file-based simulation configuration system. The cli is structured as follows:
$ python simulation.py Usage: simulate.py [OPTIONS] Simulate n-dimensional cellular automata using some of the most common methods. Options: -p, --preset [conway|elementary] simulation preset to use -f, --file FILENAME file to load simulation config from -d, --dimensions TEXT dimensions of the simulation, format: N[xN[xN[...]] -m, --method [count|pattern] simulation method -r, --rule INTEGER rule to simulate -i, --iterations INTEGER iterations to simulate -n, --neighborhood-radius INTEGER neighborhood radius to use -o, --out FILE path to save the output to --initial-state INTEGER initial simulation state --parallelize enabled parallel calculation of cells per state transition --scaling INTEGER scaling to apply to output --format [gif|png|npy|txt] format to output as, this skips the default which is to simply use the most suitable for the given number of dimensions --help Show this message and exit.
To make use of file based configuration options simply write a YAML file that contains all
the necessary parameters. For some examples have a look in the
If you want to write binary numbers in these files I've added two tags to the yaml-parser
!br (reverse). Using these files is as simple as running:
python simulate.py -f examples/glider.yml
Using the predefined presets is also similar, to use them simply make use of the
and fill in the rest of the undefined parameters:
python simulate.py -p conway -d 64x64 -i 32
Though this implementation can handle n-dimensional states as of now I have only implemented
graphical visualizations for 1D and 2D automata. If you want to create your own visualization
you can specify one of the text based formats (e.g.
1D pattern rule 772 radius=2
2D pattern rule 12345678 radius=1
Conway's Game of Life (2D count rule 6152 radius=1)
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