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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())
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