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_ten_print(cols: 'int' = 32, rows: 'int' = 24, cell: 'int' = 18, seed: 'int' = 0) -> 'np.ndarray' (to call the implementation directly, import perpetual; perpetual.perpetual_ten_print(cols: 'int' = 32, rows: 'int' = 24, cell: 'int' = 18, seed: 'int' = 0) -> 'np.ndarray'; from the registry, opsgenerative.get("perpetual_ten_print"))
10 PRINT CHR$(205.5+RND(1)); : GOTO 10 — a maze that grows forever.
A Commodore 64 one-line program. Simply placing 1 of 2 kinds of diagonal in each cell makes it look like a maze. The invariant is that a cell's content has only 2 possibilities (there are no mixed cells).
• 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
rgb as input)—
perpetual)perpetual_truchet · perpetual_elementary_ca · 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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.