grid_paths_to_xy — DRIVE braidpath op

• Data kinds: any → any

• Call: import fullseye as fs; fs.ledger.grid_paths_to_xy(paths) -> 'np.ndarray' (to call the implementation directly, import braidpath; braidpath.grid_paths_to_xy(paths) -> 'np.ndarray'; from the registry, opsdrive.get("grid_paths_to_xy"))

• GPU: none (CPU reference implementation only)

Usage

Converts grid paths (each agent's (row, col) sequence) into (K, T, 2) [x, y] = [col, −row] (shorter paths are padded with their last point).

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_braid_homotopy_classes — py -3.11 examples/poc_braid_homotopy_classes.py

Ops the type connects to (they accept any as input)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road

Same category (braidpath)

braid_from_trajectories · braid_reduce · braid_artin_images · dynnikov_coordinates · dynnikov_act · braid_equivalent · homotopy_class_compare · pairwise_winding

*Provenance: braidpath.py — DRIVE 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.