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"))
Returns the exact claims each system must satisfy, together with measured values (table).
★The core of this family. An "endlessly flowing picture" cannot be scored by its looks, so formulas that hold independently of the picture are output from the same op. residual is the measured value of a quantity that should be 0.
• 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.