perpetual_flow_field — 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_flow_field(size: 'int' = 520, seed: 'int' = 0, lines: 'int' = 420, steps: 'int' = 150, scale: 'float' = 0.01) -> 'np.ndarray' (to call the implementation directly, import perpetual; perpetual.perpetual_flow_field(size: 'int' = 520, seed: 'int' = 0, lines: 'int' = 420, steps: 'int' = 150, scale: 'float' = 0.01) -> 'np.ndarray'; from the registry, opsgenerative.get("perpetual_flow_field"))

Usage

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

流れ場 ―― 粒子を場に乗せて流し続ける(止めなければ終わらない)。

★場はポテンシャル ψ の回転として作る。だから 発散が恒等的に 0

(非圧縮)で、粒子が湧いたり消えたりしない。「それらしい雑音」で作った

流れ場との違いはここで、:func:perpetual_identities が数で出す。

★線の色と太さは流速 |∇ψ| に結びつけてある(太さも濃さも一定だと、

同じ場から描いても「落書き」にしかならない)。

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_chaos_game · perpetual_apollonian · perpetual_harmonograph · perpetual_ifs_attractor

*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.