shot_is_legal — DRIVE `racket` op

• Data kinds: table × table × table → table

• Call: import fullseye as fs; fs.ledger.shot_is_legal(p, v, w, bp, ip, tp, x_racket: 'float', side: 'int', hit_height=(0.05, 0.45)) -> 'dict' (to call the implementation directly, import racket; racket.shot_is_legal(p, v, w, bp, ip, tp, x_racket: 'float', side: 'int', hit_height=(0.05, 0.45)) -> 'dict'; from the registry, opsdrive.get("shot_is_legal"))

Usage

Looks ahead at the shot (p, v, ω) with the true physics and judges whether it clears the net, lands exactly 1 time on the opponent's court, and arrives at a height hittable at the opponent's plane x = ∓x_r. {"legal", "reason", "p_arrive", "t_arrive"}.

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 `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`racket`)

racket_params · racket_impact · racket_hit_check · aim_velocity · racket_plan · racket_move · strategy_attacker · strategy_feeder

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

shot_is_legal — DRIVE racket op