#!/usr/bin/env python3
"""Grader tamper check: gold replies must fail when the answer key is deliberately mutated."""
import copy
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 = js…
#!/usr/bin/env python3
"""Answer-leak audit: hidden answer labels/tokens should not appear in the model-facing input."""
import json
import re
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
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 candidate_names(row):
ans = row.get("answer")
names = []
if isinstance(ans, dict):
if isinstance(ans.get("symbol"), str):
names.append(ans["symbol"])
if isinstance(ans.get("correct"), str):
names.append(ans["correct"])
for alias in ans…
# Verification kit — sample-level checks
This small kit lets a buyer's researcher sanity-check the grader and answer hygiene without trusting RE-Lab. It runs on the public sample JSONL files; it does not require the paid full pack. The grader scripts import `binary_reasoning_v1.grading` from `environment/src/binary_reasoning_v1/grading.py` (`leak_check.py` does not), so include that file (or the Prime environment package) when downloading just the free sample.
## Run it
From the dataset root:
```bash
python verification_kit/gold.py sample_free.jsonl
python verification_kit/do_nothing.py sample_free.jsonl
python verification_kit/random_wrong.py sample_free.jsonl
python verification_kit/leak_check.py sample_free.jsonl
python verification_kit/grader_tamper.py sample_free.jsonl
```
If the 100-item open sample is present locally, point the same scripts at it:
```bash
python verification_kit/gold.py environment/src/binary_reasoning_v1/items.jsonl
python verification_kit/do_nothing.py e…
