perpetual_step — GENERATIVE stream op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.perpetual_step(state: 'dict', steps: 'int' = 1) -> 'dict' (to call the implementation directly, import perpetual; perpetual.perpetual_step(state: 'dict', steps: 'int' = 1) -> 'dict'; from the registry, opsgenerative.get("perpetual_step"))

Usage

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

状態を `steps` だけ進める(同じ dict を返す ―― 大きな配列を複製しない)。

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 table as input)

perpetual_render

Same category (stream)

perpetual_state · perpetual_render

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

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.