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Align task taxonomy and IDs with the updated paper; main evaluation 306
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#!/usr/bin/env python3
from __future__ import annotations
from pathlib import Path
ABS_TOL = 1e-6
REL_TOL = 1e-4
def is_result_artifact(path: Path) -> bool:
name = path.name.lower()
return (
any(k in name for k in ("summary", "result", "report", "diagnosis"))
or path.suffix.lower() in {".txt", ".csv", ".xy", ".result"}
)
def is_nonempty_file(path: Path) -> bool:
if not is_result_artifact(path):
return path.exists() and path.is_file()
return path.exists() and path.is_file() and path.stat().st_size > 0
def read_text(path: Path) -> str:
return path.read_text(encoding="utf-8", errors="ignore")
def parse_csv_values(path: Path) -> list[str]:
content = read_text(path).strip()
if not content:
return []
return [p.strip() for p in content.split(",")]
def close_enough(actual: float, target: float) -> bool:
limit = max(ABS_TOL, REL_TOL * max(1.0, abs(target)))
return abs(actual - target) <= limit
def check_task(root: Path) -> bool:
required = ['mpc.inp', 'summary.txt']
for rel in required:
if not is_nonempty_file(root / rel):
return False
actual_parts = parse_csv_values(root / "summary.txt")
expected_vals = [-15697500000.0, 0.000341892, 0.00034234]
if len(actual_parts) != len(expected_vals):
return False
try:
actual_vals = [float(v) for v in actual_parts]
except (TypeError, ValueError):
return False
for a, g in zip(actual_vals, expected_vals):
if not close_enough(a, g):
return False
return True
def evaluate() -> int:
root = Path("/home/user/Desktop")
try:
ok = check_task(root)
except Exception:
ok = False
return 1 if ok else 0
def main() -> int:
result = evaluate()
print("True" if result == 1 else "False")
return 0
if __name__ == "__main__":
raise SystemExit(main())