File size: 6,255 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 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import ast
import hashlib
import json
import re
import subprocess
import sys
import xml.etree.ElementTree as ET
from pathlib import Path
FLOAT_RE = re.compile(r"(?<![A-Za-z0-9_])[-+]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][-+]?\d+)?(?![A-Za-z0-9_])")
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:
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 sha256(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
def valid_xdmf(path: Path, expected_h5: str) -> bool:
try:
root = ET.parse(path).getroot()
except (ET.ParseError, OSError):
return False
hdf_items = [
(node.text or "").strip()
for node in root.iter()
if node.tag.endswith("DataItem") and node.attrib.get("Format", "").upper() == "HDF"
]
return bool(hdf_items) and all(item.startswith(expected_h5 + ":/") for item in hdf_items)
def parse_report(path: Path) -> dict[str, object]:
data: dict[str, object] = {}
for raw_line in read_text(path).splitlines():
line = raw_line.strip()
if (not line) or line.startswith("#"):
continue
parts = [p.strip() for p in line.split(",")]
if len(parts) >= 3 and parts[0] in ("job_a", "job_b"):
vals_1 = parse_floats(parts[1])
vals_2 = parse_floats(parts[2])
if vals_1 and vals_2:
data[parts[0]] = (vals_1[0], vals_2[0])
continue
if len(parts) >= 2 and parts[0] in ("Ratio_Mises", "Ratio_Displacement"):
vals = parse_floats(parts[1])
if vals:
data[parts[0]] = vals[0]
return data
def check_task(root: Path) -> bool:
required = [
"job_a.py",
"job_b.py",
"run_pipeline.py",
"compare.py",
]
for rel in required:
if not is_nonempty_file(root / rel):
return False
expected_job_hashes = {
"job_a.py": "f09fb0fb7c90b5fe53135cc540c246f7398699455d98eecae12ef2120a5d205d",
"job_b.py": "5ec8262a3a1fcdbce13175651d6b4cf8b53e2b0694e4eef084ba6c2fcbe712af",
}
if any(sha256(root / name) != digest for name, digest in expected_job_hashes.items()):
return False
pipeline_source = read_text(root / "run_pipeline.py")
compare_source = read_text(root / "compare.py")
try:
ast.parse(pipeline_source, filename=str(root / "run_pipeline.py"))
ast.parse(compare_source, filename=str(root / "compare.py"))
except SyntaxError:
return False
generated = [
"job_a.xdmf", "job_a.h5", "job_a_metrics.json",
"job_b.xdmf", "job_b.h5", "job_b_metrics.json",
"comparison_report.txt",
]
for rel in generated:
(root / rel).unlink(missing_ok=True)
try:
pipeline = subprocess.run(
[sys.executable, str(root / "run_pipeline.py")], cwd=root,
stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True,
timeout=300, check=False,
)
if pipeline.returncode != 0:
return False
comparison = subprocess.run(
[sys.executable, str(root / "compare.py")], cwd=root,
stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True,
timeout=60, check=False,
)
except (OSError, subprocess.SubprocessError):
return False
if comparison.returncode != 0 or any(not is_nonempty_file(root / rel) for rel in generated):
return False
if not valid_xdmf(root / "job_a.xdmf", "job_a.h5") or not valid_xdmf(root / "job_b.xdmf", "job_b.h5"):
return False
data = parse_report(root / "comparison_report.txt")
if "job_a" not in data or "job_b" not in data:
return False
report_lines = [line.strip() for line in read_text(root / "comparison_report.txt").splitlines() if line.strip()]
if len(report_lines) != 4:
return False
expected_prefixes = ("job_a,", "job_b,", "Ratio_Mises,", "Ratio_Displacement,")
if any(not line.startswith(prefix) for line, prefix in zip(report_lines, expected_prefixes)):
return False
mises_a, uy_a = data["job_a"]
mises_b, uy_b = data["job_b"]
metrics_a = json.loads(read_text(root / "job_a_metrics.json"))
metrics_b = json.loads(read_text(root / "job_b_metrics.json"))
if abs(mises_a - float(metrics_a["max_mises_mpa"])) > 1e-6 * max(1.0, abs(mises_a)):
return False
if abs(uy_a - float(metrics_a["tip_uy_mm"])) > 1e-6 * max(1.0, abs(uy_a)):
return False
if abs(mises_b - float(metrics_b["max_mises_mpa"])) > 1e-6 * max(1.0, abs(mises_b)):
return False
if abs(uy_b - float(metrics_b["tip_uy_mm"])) > 1e-6 * max(1.0, abs(uy_b)):
return False
if not (mises_a > 0.0 and mises_b > mises_a and uy_a < 0.0 and uy_b < uy_a):
return False
if "Ratio_Mises" not in data or abs(float(data["Ratio_Mises"]) - 2.0) > 0.02:
return False
if "Ratio_Displacement" not in data or abs(float(data["Ratio_Displacement"]) - 2.0) > 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())
|