File size: 6,958 Bytes
5154c4e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
#!/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())