Download task/single-software-execution/cli/fenics/task-19/eval.py from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
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https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/fenics/task-19/eval.py
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hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/fenics/task-19/eval.py
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curl -L -o eval.py https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/fenics/task-19/eval.py
9.54 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 assignment_expressions(tree: ast.AST) -> dict[str, list[ast.AST]]: | |
| assignments: dict[str, list[ast.AST]] = {} | |
| for node in ast.walk(tree): | |
| if isinstance(node, ast.Assign): | |
| for target in node.targets: | |
| if isinstance(target, ast.Name): | |
| assignments.setdefault(target.id, []).append(node.value) | |
| elif isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name) and node.value is not None: | |
| assignments.setdefault(node.target.id, []).append(node.value) | |
| return assignments | |
| def expression_dependencies( | |
| node: ast.AST, | |
| assignments: dict[str, list[ast.AST]], | |
| seen: set[str] | None = None, | |
| ) -> set[str]: | |
| seen = set() if seen is None else seen | |
| dependencies: set[str] = set() | |
| if isinstance(node, ast.Name): | |
| if node.id in seen: | |
| return dependencies | |
| for value in assignments.get(node.id, []): | |
| dependencies.update(expression_dependencies(value, assignments, seen | {node.id})) | |
| return dependencies | |
| if isinstance(node, ast.Call): | |
| dependencies.add(dotted_name(node.func).lower().split(".")[-1]) | |
| dependencies.update(expression_dependencies(node.func, assignments, seen)) | |
| for argument in node.args: | |
| dependencies.update(expression_dependencies(argument, assignments, seen)) | |
| for keyword in node.keywords: | |
| dependencies.update(expression_dependencies(keyword.value, assignments, seen)) | |
| return dependencies | |
| for child in ast.iter_child_nodes(node): | |
| dependencies.update(expression_dependencies(child, assignments, seen)) | |
| return dependencies | |
| def summary_depends_on_surface_force(tree: ast.AST) -> bool: | |
| assignments = assignment_expressions(tree) | |
| required = {"assemble", "facetnormal"} | |
| for node in ast.walk(tree): | |
| if not isinstance(node, ast.Call) or dotted_name(node.func).lower().split(".")[-1] not in {"write", "write_text"}: | |
| continue | |
| if node.args and required.issubset(expression_dependencies(node.args[0], assignments)): | |
| return True | |
| return False | |
| def execute_script(root: Path, filename: str, timeout: int = 240) -> set[str]: | |
| script = (root / filename).resolve() | |
| with tempfile.TemporaryDirectory(prefix="fenics-task19-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("lift_drag.py did not complete successfully") | |
| marker = "__EVAL_PRIVATE_CALLS__" | |
| if marker not in completed.stdout: | |
| raise ValueError("lift_drag.py produced no private execution evidence") | |
| evidence = json.loads(completed.stdout.rsplit(marker, 1)[1].splitlines()[0]) | |
| return set(evidence.get(filename, [])) | |
| def check_lift_drag_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: set[str] = set() | |
| strings: set[str] = set() | |
| integer_literals: set[int] = 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.add(dotted_name(node.func).lower().split(".")[-1]) | |
| elif isinstance(node, ast.Constant) and isinstance(node.value, str): | |
| strings.add(node.value.lower()) | |
| elif isinstance(node, ast.Constant) and isinstance(node.value, int): | |
| integer_literals.add(node.value) | |
| required_calls = { | |
| "rectanglemesh", | |
| "submesh", | |
| "functionspace", | |
| "dirichletbc", | |
| "facetnormal", | |
| "measure", | |
| "assemble", | |
| } | |
| element_api = ({"vectorelement", "finiteelement"}.issubset(calls) or "vectorfunctionspace" in calls) | |
| variational_api = bool(calls.intersection({"trialfunction", "trialfunctions"})) and bool(calls.intersection({"testfunction", "testfunctions"})) | |
| solver_api = bool(calls.intersection({"solve", "linearvariationalsolver", "petsckrylovsolver", "lusolver"})) | |
| return ( | |
| "dolfin" in imports | |
| and required_calls.issubset(calls) | |
| and element_api | |
| and variational_api | |
| and solver_api | |
| and 5 in integer_literals | |
| and any("summary.txt" in value for value in strings) | |
| and summary_depends_on_surface_force(tree) | |
| ) | |
| def check_task(root: Path) -> bool: | |
| script = root / "lift_drag.py" | |
| summary = root / "summary.txt" | |
| if not script.is_file() or not check_lift_drag_script(script): | |
| return False | |
| summary.unlink(missing_ok=True) | |
| executed = execute_script(root, script.name) | |
| runtime_required = { | |
| "rectanglemesh", "submesh", "functionspace", "dirichletbc", | |
| "facetnormal", "measure", "assemble", | |
| } | |
| solver_api = executed.intersection({"solve", "linearvariationalsolver", "petsckrylovsolver", "lusolver"}) | |
| if not runtime_required.issubset(executed) or not solver_api or not is_nonempty_file(summary): | |
| return False | |
| vals = parse_floats(read_text(summary)) | |
| if len(vals) < 2: | |
| return False | |
| cd, cl = vals[0], vals[1] | |
| if abs(cd - 3.168223194180756) > 0.5: | |
| return False | |
| if abs(cl - (-0.08055826240762723)) > 0.1: | |
| 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()) | |