Automata README

A collection of my Automata / art coding hobbies. I have set it up such that relevant parameters are read from a parameters.py file.

I appreciate any constructive feedback or future ideas!

The Walker and Canvas classes

Uses the 'canvas' and 'walker' parameters to simulate restricted walkers on a canvas.

> python Automata walker

The Sierpinski class

Uses the 'sierpinski' parameters to simulate a Sierpinski triangle.

> python Automata sierpinski

The Sandpile class

Uses the 'sandpile' parameters to simulate an Abelian sandpile.

> python Automata sandpile

The AutoCell class

raise NotImplementedError("These docs are still to be fleshed out!")

Uses the 'autocell' parameters to simulate cell based automata. Implemented for:

• 1D (x) evolution into 2^nd (spatial) dimension (y), or
• 2D (x-y) evolution into 3^rd (temporal) dimension (t).

python Automata autocell

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References

Markdown

• Preview in VSCode: Ctrl + K then V
• Markdown cheat sheet

Logging information:

• Realpython logging
• Documentation: logging

Color maps:

• matplotlib color maps
• Online cosine gradient generator
  • Used as palette(x) = a + b * cos(2π(c * t + d))

Gaussian filtering:

• Documentation: scipy.ndimage.gaussian_filter
  • from scipy.ndimage import gaussian_filter as gauss_smooth

Finding line segment intersection:

DEPRECATED from Canvas for folding from 3x3 to 1x1 canvas (Canvas.foldCanvas()), more efficient at cost of 9x larger canvas

• Wikipedia: Intersection
• Documentation: numpy.linalg.solve
• Wikipedia: Cramer's rule

Abelian sandpiles

• Wikipedia: Abelian sandpile model
• Lang, M., & Shkolnikov, M. (2019). Harmonic dynamics of the abelian sandpile. Proceedings of the National Academy of Sciences, 116(8), 2821-2830.
• Creutz, M. (1991). Abelian sandpiles. Computers in physics, 5(2), 198-203.

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TODO: Next Steps

• Make TODO list
• Automata
  • define python Automata help|-help|-h to return help docs in the command line
• Canvas
  • Gaussian filtering for smoothing
  • multiprocessing should be possible as walkers independent of one another
    • I.E. N canvases parsing total_walkers / N walkers each
• Walker
  • Find out if choice has more efficient function
  • Add Walker vision implementation to allow directional preference
    • I.E. Fix Walker.look() method, especially handling and 'type' of vis / self.vis
    • I.E. vision: [int, int] | np.array([int, int]).astype(int)
• Sandpile
  • Find out how large history should be (t-axis)
    • I.E. dynamically calculate t if possible
  • Sandpile.animate() save with PIL for proper .gif format
  • Test Sandpile.show3D() for better plots
• Bezier
  • Add Bezier.py to folder structure
  • Implement Bezier() in the __main__.py file
  • Add docs to README above
• AutoCell
  • Add original Autocell.py to folder structure
  • Implement AutoCell() in the __main__.py file
  • Finish correcting typing in AutoCell.py
    • I.E. Includes parsing parameters from dictionary
  • Add docs to README above
  • Add AutoCell References
  • Cell1D show revamp
  • Checkbox for black/white in show 2D
  • Cell2D.animate() not called properly when run in Terminal
  • Cell2D resize not working
  • Have way to show age
    • I.E. Pixel gets darker the older it is