insertion_grid_summary — DRIVE `pegsim` op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.insertion_grid_summary(rows) -> 'dict' (to call the implementation directly, import pegsim; pegsim.insertion_grid_summary(rows) -> 'dict'; from the registry, opsdrive.get("insertion_grid_summary"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

成功率の格子を集計する: 行 = {eps_mm, tilt_deg, correct, success} の列から、補正あり/なし × ε₀ × θ₀ の成功率の表と、

「補正なしで全部成功する最大の ε₀」「補正ありの成功数 / 総数」。

返り: `eps_mm・tilt_deg(軸)、rate: {False: (n_eps, n_tilt) の配列, True: 同}、n_runs、max_eps_all_ok`:

{correct: その補正で全 θ₀ が成功する最大の ε₀(無ければ None)}、`success_count`: {correct: (成功数, 総数)}。

Raises `ValueError`: 行が空、鍵が欠ける。

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 (`pegsim`)

peg_params · whitney_clearance · two_point_depth · wedging_check · jamming_diagram · chamfer_capture · contact_state_predict · circle_fit_known_radius

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

insertion_grid_summary — DRIVE pegsim op