File size: 3,180 Bytes
4882451 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | #!/usr/bin/env python3
"""Random-wrong sanity check: a deliberately wrong deterministic reply should score 0."""
import json
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "environment" / "src"))
from binary_reasoning_v1.grading import _answer_symbol, grade_item, needs_judge, norm_symbol # noqa: E402
def resolve_path():
if len(sys.argv) > 1:
return Path(sys.argv[1])
for p in (ROOT / "sample_free.jsonl", ROOT / "environment/src/binary_reasoning_v1/items.jsonl"):
if p.exists():
return p
raise SystemExit("no sample JSONL found; pass one as argv[1]")
def load_rows(path):
rows = []
for line in path.read_text(encoding="utf-8").splitlines():
if line.strip():
rows.append(json.loads(line))
return rows
def parse_json_answer(ans):
if isinstance(ans, dict):
return ans
if isinstance(ans, str):
try:
obj = json.loads(ans)
if isinstance(obj, dict):
return obj
except Exception:
pass
return {}
def mutate_token(s):
s = str(s)
if not s:
return "RELAB_WRONG"
mid = len(s) // 2
return f"{s[:mid]}_RELAB_WRONG_{s[mid:]}"
def wrong_reply(row):
fam = row.get("family", "")
ans = row.get("answer")
if fam == "func_id_mc" and isinstance(ans, dict):
opts = ans.get("options", [])
correct = norm_symbol(ans.get("correct", ""))
for i, opt in enumerate(opts[:4]):
if norm_symbol(opt) != correct:
return "ABCD"[i]
return "RELAB_WRONG"
if fam == "toolchain_fp" and isinstance(ans, dict):
parts = [mutate_token(s) for s in ans.get("toolchain_strings", []) if str(s)]
return "\n".join(parts) if parts else "RELAB_WRONG"
if fam == "library_ident":
ans_str = str(_answer_symbol(ans) or ans or "")
toks = [t for t in ans_str.split() if len(t) >= 2]
return " ".join(mutate_token(t) for t in toks) if toks else "RELAB_WRONG"
if fam == "crossarch_equivalence":
obj = parse_json_answer(ans)
if bool(obj.get("same")):
return "Not the same."
return "Same function: RELAB_WRONG"
sym = _answer_symbol(ans) or ans or ""
if row.get("family") == "agentic_flag_hunt":
return mutate_token(sym)
return f"{sym}_RELAB_WRONG"
def main():
path = resolve_path()
rows = load_rows(path)
passed = failed = skipped = 0
fails = []
for row in rows:
fam = row.get("family", "")
ans = row.get("answer")
if needs_judge(fam, ans):
skipped += 1
continue
score = grade_item(fam, wrong_reply(row), ans)
if score == 0.0:
passed += 1
else:
failed += 1
fails.append((row.get("id"), fam, score))
print(f"file={path}")
print(f"summary: random_wrong pass={passed}/{passed + failed} fail={failed} skipped_judge={skipped}")
for f in fails[:10]:
print("FAIL", *f)
return 0 if failed == 0 else 1
if __name__ == "__main__":
raise SystemExit(main())
|