perpetual op• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.perpetual_identities(which: 'str' = '') -> 'dict' (to call the implementation directly, import perpetual; perpetual.perpetual_identities(which: 'str' = '') -> 'dict'; from the registry, opsgenerative.get("perpetual_identities"))
> This operator's description has not been translated yet. The original text follows as it is.
各系が満たすべき厳密な主張を、実測つきで返す(`table`)。
★この族の芯。「無限に流れる絵」は見た目では採点できないので、**絵とは
独立に成り立つ式**を同じ op から出す。`residual` は 0 であるべき量の実測。
• 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.
• poc_illusions_and_perpetual_drawing — py -3.11 examples/poc_illusions_and_perpetual_drawing.py
table as input)perpetual_step · perpetual_render
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.