初始化项目，由ModelHub XC社区提供模型

Model: Lipas007/iol-ai-2026-qwen14b-awq
Source: Original Platform

iol_utils.py

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+"""Safe post-parse normalizers for IOL-AI 2026 (v8+).
+
+Only match_letters / text_to_num. Never force list arity.
+"""
+
+from __future__ import annotations
+
+import re
+from typing import List
+
+
+def normalize_match_letter(ans: str) -> str:
+    ans = ans.strip()
+    m = re.fullmatch(r"[\(\[]?([A-Za-z])[\)\]]?[.)]?", ans)
+    if m:
+        return m.group(1).upper()
+    tokens = re.findall(r"\b([A-Za-z])\b", ans)
+    if tokens:
+        return tokens[-1].upper()
+    m = re.search(r"[A-Za-z]", ans)
+    return m.group(0).upper() if m else ans
+
+
+def normalize_text_to_num(ans: str) -> str:
+    a = re.sub(r"(?i)^(answer|ans|result)\s*[:=]\s*", "", ans.strip()).strip()
+    if re.fullmatch(r"[\d\s+\-*/^=()]+", a.replace(",", "")):
+        a = a.replace(",", "").replace(" ", "")
+        if "=" in a and " = " not in a:
+            a = a.replace("=", " = ")
+        return a.strip()
+    m = re.search(r"\d+", a)
+    return m.group(0) if m and len(a) < 40 else a
+
+
+def safe_normalize_answers(answers: List[str], task_type: str) -> List[str]:
+    """Per-line only. Does not pad/truncate. No-op for other task types."""
+    task_type = (task_type or "").strip().lower()
+    out: List[str] = []
+    for a in answers:
+        a = a.strip()
+        if task_type == "match_letters":
+            a = normalize_match_letter(a)
+        elif task_type == "text_to_num":
+            a = normalize_text_to_num(a)
+        out.append(a)
+    return out