Download task/single-software-execution/cli/fenics/task-12/eval.py from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
- Browser
- Download file 6.96 kB
-
https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/fenics/task-12/eval.py
- Command line
-
hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/fenics/task-12/eval.py
-
curl -L -o eval.py https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/fenics/task-12/eval.py
6.96 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import argparse | |
| import ast | |
| import json | |
| import os | |
| import re | |
| import subprocess | |
| import sys | |
| import tempfile | |
| from pathlib import Path | |
| FLOAT_RE = re.compile(r"(?<![A-Za-z0-9_])[-+]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][-+]?\d+)?(?![A-Za-z0-9_])") | |
| PRIVATE_RUNNER_B64 = "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" | |
| 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 True | |
| 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_floats(text: str) -> list[float]: | |
| out: list[float] = [] | |
| for token in FLOAT_RE.findall(text): | |
| try: | |
| out.append(float(token)) | |
| except (TypeError, ValueError): | |
| continue | |
| return out | |
| def write_result(path: Path, value: int) -> None: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| path.write_text(json.dumps({"result": int(1 if value else 0)}, ensure_ascii=False) + "\n", encoding="utf-8") | |
| def dotted_name(node: ast.AST) -> str: | |
| if isinstance(node, ast.Name): | |
| return node.id | |
| if isinstance(node, ast.Attribute): | |
| prefix = dotted_name(node.value) | |
| return f"{prefix}.{node.attr}" if prefix else node.attr | |
| return "" | |
| def execute_script(root: Path, filename: str, timeout: int = 180) -> list[str]: | |
| script = (root / filename).resolve() | |
| with tempfile.TemporaryDirectory(prefix="fenics-task12-eval-") as temp_dir: | |
| runner = Path(temp_dir) / "runner.py" | |
| runner.write_bytes(__import__("zlib").decompress(__import__("base64").b64decode(PRIVATE_RUNNER_B64))) | |
| completed = subprocess.run( | |
| [sys.executable, str(runner), str(script)], cwd=root, | |
| stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, timeout=timeout, | |
| ) | |
| if completed.returncode != 0: | |
| raise ValueError("thermomech.py did not complete successfully") | |
| marker = "__EVAL_PRIVATE_CALLS__" | |
| if marker not in completed.stdout: | |
| raise ValueError("thermomech.py produced no private execution evidence") | |
| evidence = json.loads(completed.stdout.rsplit(marker, 1)[1].splitlines()[0]) | |
| return list(evidence.get(filename, [])) | |
| def check_thermomech_script(path: Path) -> bool: | |
| try: | |
| source = read_text(path) | |
| tree = ast.parse(source, filename=path.name) | |
| except (OSError, SyntaxError, UnicodeError): | |
| return False | |
| imports: set[str] = set() | |
| calls: list[str] = [] | |
| strings: set[str] = set() | |
| for node in ast.walk(tree): | |
| if isinstance(node, ast.Import): | |
| imports.update(alias.name.split(".")[0].lower() for alias in node.names) | |
| elif isinstance(node, ast.ImportFrom) and node.module: | |
| imports.add(node.module.split(".")[0].lower()) | |
| elif isinstance(node, ast.Call): | |
| calls.append(dotted_name(node.func).lower().split(".")[-1]) | |
| elif isinstance(node, ast.Constant) and isinstance(node.value, str): | |
| strings.add(node.value.lower()) | |
| required_calls = { | |
| "rectanglemesh", | |
| "functionspace", | |
| "vectorfunctionspace", | |
| "dirichletbc", | |
| "trialfunction", | |
| "testfunction", | |
| "solve", | |
| "sym", | |
| "grad", | |
| "tr", | |
| "identity", | |
| "project", | |
| } | |
| return ( | |
| "dolfin" in imports | |
| and required_calls.issubset(set(calls)) | |
| and calls.count("solve") >= 2 | |
| and any("summary.txt" in value for value in strings) | |
| and "1.2e-5" in source | |
| and "210000" in source | |
| and "0.3" in source | |
| ) | |
| def check_task(root: Path) -> bool: | |
| script = root / "thermomech.py" | |
| summary = root / "summary.txt" | |
| if not script.is_file() or not check_thermomech_script(script): | |
| return False | |
| summary.unlink(missing_ok=True) | |
| executed_calls = execute_script(root, script.name) | |
| runtime_required = { | |
| "rectanglemesh", "functionspace", "vectorfunctionspace", | |
| "dirichletbc", "solve", "project", | |
| } | |
| if ( | |
| not runtime_required.issubset(set(executed_calls)) | |
| or executed_calls.count("solve") < 2 | |
| or not is_nonempty_file(summary) | |
| ): | |
| return False | |
| vals = parse_floats(read_text(summary)) | |
| if len(vals) < 2: | |
| return False | |
| mises, ux = vals[0], vals[1] | |
| if mises <= 0.0: | |
| return False | |
| if abs(mises - 189.6033446245451) > 19.0: | |
| return False | |
| if abs(ux - 0.01309290213912474) > 0.003: | |
| 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()) | |