tile_hash — DRIVE `inf` op

• Data kinds: none → scalar (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.tile_hash(i: 'int', j: 'int', seed: 'int', salt: 'int' = 0) -> 'int' (to call the implementation directly, import driveinf; driveinf.tile_hash(i: 'int', j: 'int', seed: 'int', salt: 'int' = 0) -> 'int'; from the registry, opsdrive.get("tile_hash"))

Usage

Derives a 64-bit integer from the index (i, j) of a tile (or grid point / edge), the world seed and a purpose salt (4 rounds of SplitMix64, integers only). Negative indices are handled too (folded into 64 bits as 2's complement). The same input gives the same value on any environment.

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)

• (none yet)

Ops the type connects to (they accept `scalar` as input)

spin_from_marker_sequence · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain · osm_parse

Same category (`inf`)

tile_uniform · pose_normalize · tile_params · tile_edge_crossing · tile_roads · tile_road_distance · tile_height · tile_mesh

*Provenance: driveinf.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tile_hash — DRIVE inf op