perpetual_chaos_game — GENERATIVE `perpetual` op

• Data kinds: none → rgb (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.perpetual_chaos_game(points: 'int' = 400000, size: 'int' = 520, seed: 'int' = 0, vertices: 'int' = 3, ratio: 'float' = 0.5, sub: 'int' = 2) -> 'np.ndarray' (to call the implementation directly, import perpetual; perpetual.perpetual_chaos_game(points: 'int' = 400000, size: 'int' = 520, seed: 'int' = 0, vertices: 'int' = 3, ratio: 'float' = 0.5, sub: 'int' = 2) -> 'np.ndarray'; from the registry, opsgenerative.get("perpetual_chaos_game"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

カオスゲーム ―― 賽を振って半分ずつ寄るだけで、シェルピンスキーが出る。

不変量: 3 頂点・比 1/2 の吸引子の箱数次元は log3/log2 = 1.5850。

★描き方が測れる真値を変える。同じ点列でも、切り捨てて積んだ絵から測った

次元は真値から −0.032 ずれるのに、双一次 + asinh で描くと −0.0030

—— 10 倍正確になる(しきい値 0.1、実測)。濃淡は飾りではない。

Detailed usage guide

• generative_art family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_illusions_and_perpetual_drawing — py -3.11 examples/poc_illusions_and_perpetual_drawing.py

Ops the type connects to (they accept `rgb` as input)

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Same category (`perpetual`)

perpetual_ten_print · perpetual_truchet · perpetual_elementary_ca · perpetual_langtons_ant · perpetual_apollonian · perpetual_harmonograph · perpetual_ifs_attractor · perpetual_flow_field

*Provenance: perpetual.py — GENERATIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

perpetual_chaos_game — GENERATIVE perpetual op