| from __future__ import annotations |
|
|
| from src.domain import EvalRow, SolveStatus |
| from src.validation import ValidationReport |
|
|
|
|
| def status_label(status: str, lang: str = "en") -> str: |
| mapping = { |
| "en": { |
| "optimal": "Proven optimal (within the model)", |
| "feasible": "Feasible incumbent within the time limit — not proven optimal", |
| "heuristic": "Heuristic feasible candidate — not a proven optimum", |
| "infeasible": "Proven infeasible under the stated constraints", |
| "timeout": "No plan found before the time limit — this is not a proof of infeasibility", |
| "invalid": "Invalid input or schema", |
| "error": "Solver error", |
| "not_evaluated": "Not evaluated — no run, so this is not a score of 0", |
| }, |
| "fa": { |
| "optimal": "بهینه اثبات‌شده در مدل", |
| "feasible": "جواب شدنی در مهلت — بهینه بودن اثبات نشده", |
| "heuristic": "نامزد شدنی ابتکاری — بهینه اثبات‌شده نیست", |
| "infeasible": "ناممکن اثبات‌شده با قیود فعلی", |
| "timeout": "در مهلت جوابی پیدا نشد — این اثبات ناممکن بودن نیست", |
| "invalid": "ورودی یا schema نامعتبر", |
| "error": "خطای حل‌گر", |
| "not_evaluated": "ارزیابی نشده — اجرا نشده و این صفر یا رتبه نیست", |
| }, |
| } |
| return mapping.get(lang, mapping["en"]).get(status, status) |
|
|
|
|
| def numeric_reasons(problem, rows: list[EvalRow], report: ValidationReport | None, lang: str = "en") -> list[str]: |
| lines: list[str] = [] |
| if lang == "fa": |
| lines.append( |
| f"{problem.problem_id} خانواده {problem.family.value}، دشواری {problem.difficulty.value}، " |
| f"وضعیت طلایی {problem.gold_status}، هدف طلایی {problem.gold_objective}." |
| ) |
| else: |
| lines.append( |
| f"{problem.problem_id} is a {problem.difficulty.value} {problem.family.value} instance. " |
| f"Gold status {problem.gold_status}, gold objective {problem.gold_objective}." |
| ) |
| by_id = {row.method_id: row for row in rows if row.evaluated} |
| structured = by_id.get("structured-solver") |
| heuristic = by_id.get("heuristic") |
| if structured and heuristic and structured.objective is not None and heuristic.objective is not None: |
| delta = float(heuristic.objective) - float(structured.objective) |
| if lang == "fa": |
| lines.append(f"هدف ابتکاری {heuristic.objective} در برابر حل‌گر {structured.objective} (اختلاف {delta:+.3f}).") |
| else: |
| lines.append(f"Heuristic objective {heuristic.objective} vs solver {structured.objective} (delta {delta:+.3f}).") |
| extractor = by_id.get("template-extractor+solver") |
| if extractor and extractor.constraint_fidelity is not None: |
| if lang == "fa": |
| lines.append(f"وفاداری استخراج قالب {extractor.constraint_fidelity:.3f}؛ parse={'موفق' if extractor.parse_success else 'ناموفق'}.") |
| else: |
| lines.append(f"Template-extractor fidelity {extractor.constraint_fidelity:.3f}; parse={'ok' if extractor.parse_success else 'failed'}.") |
| naive = by_id.get("naive-direct") |
| if naive and naive.violated: |
| if lang == "fa": |
| lines.append(f"پاسخ مستقیم ساده‌لوح قیود را نقض کرد: {', '.join(naive.violated[:6])}.") |
| else: |
| lines.append(f"Naive direct answer violated: {', '.join(naive.violated[:6])}.") |
| if report and not report.ok: |
| codes = ", ".join(report.failed_codes()[:6]) |
| if lang == "fa": |
| lines.append(f"validator مستقل قیود نقض‌شده را گزارش کرد: {codes}.") |
| else: |
| lines.append(f"Independent validator flagged: {codes}.") |
| if problem.gold_status == SolveStatus.INFEASIBLE.value: |
| if lang == "fa": |
| lines.append("این نمونه ناممکن طراحی شده است. خانه‌های مدل اجرا‌نشده «ارزیابی نشده» می‌مانند.") |
| else: |
| lines.append("This instance is designed to be infeasible. Unevaluated model cells stay not_evaluated.") |
| if lang == "fa": |
| lines.append("امتیاز یک مدل زبانی داور نیست؛ validator عددی مرجع است. مسیر پاسخ مستقیم فقط برای بنچمارک است.") |
| else: |
| lines.append("An LLM score is not the judge. The numeric validator is the reference. Direct answers are benchmark-only.") |
| return lines[:8] |
|
|
