File size: 14,398 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
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
#!/usr/bin/env python3
from __future__ import annotations

import argparse
import ast
import concurrent.futures
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]] = {}

    def target_names(target: ast.AST) -> list[str]:
        if isinstance(target, ast.Name):
            return [target.id]
        if isinstance(target, (ast.Tuple, ast.List)):
            return [name for item in target.elts for name in target_names(item)]
        return []

    for node in ast.walk(tree):
        if isinstance(node, ast.Assign):
            for target in node.targets:
                for name in target_names(target):
                    assignments.setdefault(name, []).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]],
    function_dependencies: dict[str, set[str]],
    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, function_dependencies, seen | {node.id}))
        return dependencies
    if isinstance(node, ast.Call):
        call_name = dotted_name(node.func).lower().split(".")[-1]
        dependencies.add(call_name)
        dependencies.update(function_dependencies.get(call_name, set()))
        dependencies.update(expression_dependencies(node.func, assignments, function_dependencies, seen))
        for argument in node.args:
            dependencies.update(expression_dependencies(argument, assignments, function_dependencies, seen))
        for keyword in node.keywords:
            dependencies.update(expression_dependencies(keyword.value, assignments, function_dependencies, seen))
        return dependencies
    for child in ast.iter_child_nodes(node):
        dependencies.update(expression_dependencies(child, assignments, function_dependencies, seen))
    return dependencies


def returned_function_dependencies(tree: ast.AST) -> dict[str, set[str]]:
    results: dict[str, set[str]] = {}
    functions = [node for node in ast.walk(tree) if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef))]
    for _ in range(max(1, len(functions))):
        changed = False
        for function in functions:
            assignments = assignment_expressions(function)
            dependencies: set[str] = set()
            for node in ast.walk(function):
                if isinstance(node, ast.Return) and node.value is not None:
                    dependencies.update(expression_dependencies(node.value, assignments, results))
            key = function.name.lower()
            if dependencies != results.get(key, set()):
                results[key] = dependencies
                changed = True
        if not changed:
            break
    return results


def result_depends_on_cavity_solution(tree: ast.AST, external_functions: dict[str, set[str]]) -> bool:
    functions = dict(external_functions)
    functions.update(returned_function_dependencies(tree))
    assignments = assignment_expressions(tree)
    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:
            dependencies = expression_dependencies(node.args[0], assignments, functions)
            if "point" in dependencies and dependencies.intersection({"split", "sub", "function"}):
                return True
    return False


def execute_workflow(root: Path, entry_name: str, target_names: list[str], timeout: int) -> dict[str, set[str]]:
    with tempfile.TemporaryDirectory(prefix="fenics-task13-eval-") as temp_dir:
        runner = Path(temp_dir) / "runner.py"
        runner.write_bytes(__import__("zlib").decompress(__import__("base64").b64decode(PRIVATE_RUNNER_B64)))
        sources = [str((root / entry_name).resolve())]
        sources.extend(str((root / name).resolve()) for name in target_names if name != entry_name)
        completed = subprocess.run(
            [sys.executable, str(runner), *sources], cwd=root,
            stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, timeout=timeout,
        )
        if completed.returncode != 0:
            raise ValueError("the cavity workflow did not complete successfully")
        marker = "__EVAL_PRIVATE_CALLS__"
        if marker not in completed.stdout:
            raise ValueError("the cavity workflow produced no private execution evidence")
        evidence = json.loads(completed.stdout.rsplit(marker, 1)[1].splitlines()[0])
    return {name: set(evidence.get(name, [])) for name in target_names}


def check_common_solver(path: Path) -> bool:
    try:
        tree = ast.parse(read_text(path), filename=path.name)
    except (OSError, SyntaxError, UnicodeError):
        return False
    imports: set[str] = set()
    calls: 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])
    core = {"unitsquaremesh", "functionspace", "dirichletbc", "point"}
    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 core.issubset(calls) and element_api and variational_api and solver_api


def check_case_script(path: Path, reynolds: int, external_functions: dict[str, set[str]]) -> bool:
    try:
        source = read_text(path)
        tree = ast.parse(source, filename=path.name)
    except (OSError, SyntaxError, UnicodeError):
        return False
    numeric_literals = {
        int(node.value) for node in ast.walk(tree)
        if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)) and float(node.value).is_integer()
    }
    return (
        reynolds in numeric_literals
        and f"re_{reynolds}.result" in source
        and result_depends_on_cavity_solution(tree, external_functions)
    )


def check_task(root: Path) -> bool:
    source_files = [
        "re_100.py",
        "re_400.py",
        "re_1000.py",
        "summarize.py",
    ]
    for rel in source_files:
        if not (root / rel).is_file():
            return False
    shared_solver = (root / "cavity_common.py").is_file()
    if shared_solver and not check_common_solver(root / "cavity_common.py"):
        return False
    shared_functions: dict[str, set[str]] = {}
    if shared_solver:
        try:
            shared_tree = ast.parse(read_text(root / "cavity_common.py"), filename="cavity_common.py")
        except (OSError, SyntaxError, UnicodeError):
            return False
        shared_functions = returned_function_dependencies(shared_tree)
    for reynolds in (100, 400, 1000):
        if not check_case_script(root / f"re_{reynolds}.py", reynolds, shared_functions):
            return False
        if not shared_solver and not check_common_solver(root / f"re_{reynolds}.py"):
            return False
    summarize_source = read_text(root / "summarize.py")
    if "summary.txt" not in summarize_source or ".result" not in summarize_source:
        return False

    for artifact in ("re_100.result", "re_400.result", "re_1000.result", "summary.txt"):
        (root / artifact).unlink(missing_ok=True)
    case_calls: dict[int, dict[str, set[str]]] = {}
    with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
        pending = {
            reynolds: executor.submit(
                execute_workflow,
                root,
                f"re_{reynolds}.py",
                ([f"re_{reynolds}.py", "cavity_common.py"] if shared_solver else [f"re_{reynolds}.py"]),
                105,
            )
            for reynolds in (100, 400, 1000)
        }
        for reynolds, future in pending.items():
            case_calls[reynolds] = future.result()

    solver_calls: list[set[str]] = []
    for reynolds, calls_by_file in case_calls.items():
        case_name = f"re_{reynolds}.py"
        solver_calls.append(calls_by_file["cavity_common.py"] if shared_solver else calls_by_file[case_name])
    runtime_core = {"unitsquaremesh", "functionspace", "dirichletbc", "point"}
    if any(not runtime_core.issubset(calls) or not calls.intersection({"solve", "linearvariationalsolver", "petsckrylovsolver", "lusolver"}) for calls in solver_calls):
        return False

    execute_workflow(root, "summarize.py", ["summarize.py"], 15)

    result_files: dict[int, float] = {}
    for reynolds in (100, 400, 1000):
        result_path = root / f"re_{reynolds}.result"
        if not is_nonempty_file(result_path):
            return False
        result_values = parse_floats(read_text(result_path))
        if len(result_values) < 2 or int(round(result_values[0])) != reynolds:
            return False
        result_files[reynolds] = result_values[1]
    if not is_nonempty_file(root / "summary.txt"):
        return False

    results: dict[int, float] = {}
    for raw_line in read_text(root / "summary.txt").splitlines():
        line = raw_line.strip()
        if (not line) or line.startswith("#"):
            continue
        vals = parse_floats(line)
        if len(vals) < 2:
            continue
        re_float, ux = vals[0], vals[1]
        re_int = int(round(re_float))
        if abs(re_float - re_int) > 1e-6:
            continue
        results[re_int] = ux

    for re_val in (100, 400, 1000):
        if re_val not in results:
            return False
        if not abs(results[re_val] - result_files[re_val]) <= 1.0e-12:
            return False

    expected = {
        100: -0.2091295638382351,
        400: -0.1149858626712449,
        1000: -0.06187004148288549,
    }
    for reynolds, target in expected.items():
        if abs(results[reynolds] - target) > 0.025:
            return False
    if not (results[100] < results[400] < results[1000] < 0.0):
        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())