perpetual_elementary_ca — 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_elementary_ca(rule: 'int' = 90, width: 'int' = 401, rows: 'int' = 200, seed: 'int' = -1, cell: 'int' = 2) -> 'np.ndarray' (to call the implementation directly, import perpetual; perpetual.perpetual_elementary_ca(rule: 'int' = 90, width: 'int' = 401, rows: 'int' = 200, seed: 'int' = -1, cell: 'int' = 2) -> 'np.ndarray'; from the registry, opsgenerative.get("perpetual_elementary_ca"))

Usage

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

基本セルオートマトン(Wolfram の 256 規則)を上から下へ無限に伸ばす。

`seed < 0` で中央 1 点から始める(規則 90 ならシェルピンスキー、

規則 30 なら擬似乱数、規則 110 なら万能計算)。

不変量(規則 90・1 点始動): 第 n 行の第 k セルは C(n,k) mod 2。

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_langtons_ant · perpetual_chaos_game · 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_elementary_ca — GENERATIVE perpetual op