acceptance_verdict — ACCEPTANCE evaluate op

• Data kinds: table × table → table

• Call: import fullseye as fs; fs.ledger.acceptance_verdict(results, mpe) (to call the implementation directly, import acceptance3d; acceptance3d.acceptance_verdict(results, mpe); from the registry, opsacceptance.get("acceptance_verdict"))

• GPU: none (CPU reference implementation only)

Usage

Compares the table of evaluation quantities with the MPE (maximum permissible error) and returns pass/fail (table).

> The detailed description below is the original text — the summary and the headings are translated.

Compare acceptance results with maximum permissible errors. results holds lists (one value per position) under any of pf, ps, sd, f (the shape virtual_acceptance_test returns; measured values may be assembled by hand). mpe gives a positive limit per quantity. A quantity passes when max |value| <= mpe (PF and F are non-negative by definition).

返す dict: passed(全体)、by_quantity(量ごとに worst・worst_index・mpe・ratio・ passed)、decided_by(ratio が最大の量 = 合否を決めた量)、max_ratio。★MPE の値は規格ではなくメーカーの仕様が決める(この op は数字を持たない)。

Raises ValueError: results・mpe が dict でない、共通の量が 1 つも無い、値が空・非有限、MPE が正でない、未知の量の名前。

Detailed usage guide

• optical_3d_acceptance family guide

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)

acceptance_scan · virtual_acceptance_test · acceptance_error_budget

Same category (evaluate)

sphere_probing_error · sphere_spacing_error · plane_flatness_error


*Provenance: acceptance3d.py — ACCEPTANCE 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.