Download task/single-software-execution/cli/fenics/task-10/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-10/eval.py
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hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/fenics/task-10/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-10/eval.py
8.74 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 = r''' | |
| import ast, dis, json, secrets, sys, types | |
| from pathlib import Path | |
| MARKER = "__EVAL_PRIVATE_CALLS__" | |
| def dotted_name(node): | |
| 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 code_objects(code): | |
| yield code | |
| for value in code.co_consts: | |
| if isinstance(value, type(code)): | |
| yield from code_objects(value) | |
| def main(): | |
| paths = [Path(arg).resolve() for arg in sys.argv[1:]] | |
| token = secrets.token_hex(16) | |
| compiled = {} | |
| call_names = {} | |
| helper_nodes = {} | |
| for path in paths: | |
| tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path)) | |
| names = {} | |
| class Instrument(ast.NodeTransformer): | |
| def visit_Call(self, node): | |
| self.generic_visit(node) | |
| node_id = f"{path.name}:{node.lineno}:{node.col_offset}:{len(names)}" | |
| helper = f"_ev_{token}_{len(helper_nodes)}" | |
| names[node_id] = dotted_name(node.func).lower().split(".")[-1] | |
| helper_nodes[helper] = (path.name, node_id) | |
| factory = ast.Call(ast.Name(helper, ast.Load()), [], []) | |
| return ast.copy_location(ast.Call(factory, [node], []), node) | |
| tree = Instrument().visit(tree) | |
| ast.fix_missing_locations(tree) | |
| compiled[path.name] = compile(tree, str(path), "exec") | |
| call_names[path.name] = names | |
| allowed = {name: set() for name in helper_nodes} | |
| for code in compiled.values(): | |
| for child in code_objects(code): | |
| instructions = list(dis.get_instructions(child)) | |
| for index, instruction in enumerate(instructions): | |
| if instruction.opname.startswith("LOAD_") and instruction.argval in allowed: | |
| for candidate in instructions[index + 1:index + 6]: | |
| if "CALL" in candidate.opname and not candidate.opname.startswith("PRECALL"): | |
| allowed[instruction.argval].add((child, candidate.offset)) | |
| break | |
| executed = {path.name: [] for path in paths} | |
| bindings = {} | |
| for helper, (filename, node_id) in helper_nodes.items(): | |
| def make_factory(helper_name=helper, source_name=filename, call_id=node_id): | |
| def factory(): | |
| caller = sys._getframe(1) | |
| valid = any(caller.f_code is code and caller.f_lasti == offset for code, offset in allowed[helper_name]) | |
| def record(value): | |
| if valid: | |
| executed[source_name].append(call_id) | |
| return value | |
| return record | |
| return factory | |
| bindings[helper] = make_factory() | |
| def namespace(path, module_name): | |
| return {"__name__": module_name, "__file__": str(path), **bindings} | |
| entry = paths[0] | |
| for dependency in paths[1:]: | |
| module = types.ModuleType(dependency.stem) | |
| module.__dict__.update(namespace(dependency, dependency.stem)) | |
| sys.modules[dependency.stem] = module | |
| exec(compiled[dependency.name], module.__dict__) | |
| try: | |
| exec(compiled[entry.name], namespace(entry, "__main__")) | |
| except SystemExit as exc: | |
| if exc.code not in (None, 0): | |
| raise | |
| result = { | |
| filename: [call_names[filename][node_id] for node_id in node_ids] | |
| for filename, node_ids in executed.items() | |
| } | |
| print(MARKER + json.dumps(result, sort_keys=True)) | |
| main() | |
| ''' | |
| 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 = 360) -> set[str]: | |
| script = (root / filename).resolve() | |
| with tempfile.TemporaryDirectory(prefix="fenics-task10-eval-") as temp_dir: | |
| runner = Path(temp_dir) / "runner.py" | |
| runner.write_text(PRIVATE_RUNNER, encoding="utf-8") | |
| 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("adaptive.py did not complete successfully") | |
| marker = "__EVAL_PRIVATE_CALLS__" | |
| if marker not in completed.stdout: | |
| raise ValueError("adaptive.py produced no private execution evidence") | |
| evidence = json.loads(completed.stdout.rsplit(marker, 1)[1].splitlines()[0]) | |
| return set(evidence.get(filename, [])) | |
| def check_adaptive_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() | |
| 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()) | |
| required_calls = { | |
| "unitsquaremesh", | |
| "functionspace", | |
| "dirichletbc", | |
| "trialfunction", | |
| "testfunction", | |
| "linearvariationalproblem", | |
| "adaptivelinearvariationalsolver", | |
| "solve", | |
| "leaf_node", | |
| } | |
| required_strings = {"error_control", "dual_variational_solver", "linear_solver", "cg"} | |
| return ( | |
| "dolfin" in imports | |
| and required_calls.issubset(calls) | |
| and required_strings.issubset(strings) | |
| and any("summary.txt" in value for value in strings) | |
| and "1.0e-5" in source | |
| and "400" in source | |
| ) | |
| def check_task(root: Path) -> bool: | |
| script = root / "adaptive.py" | |
| summary = root / "summary.txt" | |
| if not script.is_file() or not check_adaptive_script(script): | |
| return False | |
| summary.unlink(missing_ok=True) | |
| executed = execute_script(root, script.name) | |
| runtime_required = { | |
| "unitsquaremesh", "linearvariationalproblem", | |
| "adaptivelinearvariationalsolver", "solve", "leaf_node", | |
| } | |
| if not runtime_required.issubset(executed) or not is_nonempty_file(summary): | |
| return False | |
| vals = parse_floats(read_text(summary)) | |
| if len(vals) < 2: | |
| return False | |
| cells_float, val = vals[0], vals[1] | |
| cells_int = int(round(cells_float)) | |
| if abs(cells_float - cells_int) > 1e-6: | |
| return False | |
| if abs(cells_int - 11525) / 11525 > 0.10: | |
| return False | |
| if abs(val - 0.9996795757242991) > 0.02: | |
| 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()) | |