| from __future__ import annotations |
|
|
| import base64 |
| import importlib.util |
| import json |
| import subprocess |
| import shutil |
| import zlib |
| from pathlib import Path |
|
|
|
|
| DESKTOP = Path('/home/user/Desktop') |
| BLENDER_PATH = "blender" |
|
|
| BUNDLE = {'eval_inner.py': 'eNqVWltz27YSftevQJkHUwnF2Ena03GjTJ3UcT2TOBk7bc+Mj4eGSEhizFsJ0pKq6r+f3QVAgrrYsieRKFx2F4vF7rcLOo5zes+Tmld5ycbwv+Lyjp3/fviGDdg3Ma/qUgw+xdkduxQFj0u/1/tSiEyyaiqYrEdpXFUiYv4oEVnEeBYd9xg78tk4TkQg5rGsJFv/G9BkPQUHMj0wz1gUyzsfSLzSJHJitoXEe5wtShbyjOEgFlc477UPxEshgiLhmZBKBHveV2wPLj39cGYe3jOeJKwohRRZ1WOP/3HJPp9e/c5mcTVlnKW8EmXME5blkWAViACC8L0ohXlW8RiWCUs5T/lEGMUrWopBtp9MMp5ksB8xkkF9vPGBSJDG0JFNAmqWHT2Ke1EuSO2DEQ/vzFwW8YqPkjy824cvaC1P7oFyleMiSOnAT22u3tV96Jxc/MaSnEdSLTrLs8E/osyZjP8R7AUr4rlI9tJDGAopfcZO/65jMG/YUhTtNpZGFWw43IfQR55IccvijGRJ+D8LBtucSlTtjz6sG20wkDXwE5FcM9HbUbHw80L6apj+cmdlXIkAFJQkw29lLfq3+0hSlHlUw6pQv2qHeAVmV4m0YAWvpijRT4OfQaY8Dt5e/nv27/t3QZgneQmfZSnCCjebh1NGJ+MAVJyXSTSQBQ8FC0FDpdhHjlt37rFD+NcHtUgU6zvQBrMB/YY8FSXfh8p9LGYeiC9TPHWXX84ZL/Ma3EFcobLBP+xndqjQxmRBHA7WDI+Rh66IzfaiEk5FeEeHlfxSlKdxxsFgwinPsv3sDQ4/UFFOUcwLpRBUfo0O8w8JIh0TnZH2WgM6bBO15sGgWFRTOCYCTNUvFtCAA8g9vsW9fVnlL3kmZ2BD1Pqu5zhOb1zmKQuCcY2uIghACUVegk1kWV7xKs4z2euZtnJS8FIK8/u7zDPznEvzJBfNI5oVHl7FBH1BmIBzgSXqAU2TB4dcJFGv13sGQu/4YxJsUIS8jHaPWfvr9X5tePTok33AjboUsk4qpc0M7O2YyaqkXwUKGB2zUZ6rTUvlRPVuoXWFAn0AgRQlsgF5zBKMFkO1JDcSYw68gjEPITouhtjZ79F46GI8ilwpkrFHcniav4dsPfb8eXA36x83xoMDfcXF5wXEq8i1luNuUOhrRr/CAStEWS1atkkSqIHE3eJRCrCEjNbvWvz6dBZgmhv6aiIF+hAPmj1sF8MKzCkJaAd3cDzyD1k8VsRa8ZgA38kO/cOeRSqI4rDaQWbpEBPnWFGy+HrMUTRNX8vF2zifjloPDF2GvjKRZTvd6ABIgpqpAb5XD53ybdpardpVab++tqgkBvwBtnTtDBz2nP3n55veQwSPe12HUt7BXOfrydWVg7ptto6U6nw8Of/kdGYQO2NaY4ex6yUSWd2wRg1vX79a4Q9cr9PvbZ1phN3RjYT1CWTLA5TuYOfOH6CQByvmbNft2HFpb2GZy/X9PvaPxqv+/jJqA3L+lzn+9zzOXBrff8QpTUUCli73dknolIL3f5x/+nZ+EZx/Pjk7vULhnUvl05VeHDCsPyG6QcMFoDcH7KSHRhIgBgoUxNI4zNXWol0qoAX6mdfogq6VuaCpxCnaCoIJ9GK+mtzaC+g/TmmHcdiagF2zQqQZZ3UbFp+xrxbokyoK5mU8gRCIMYzcP2cfzz+dMgnRDKACARc2hUhrUdF9wyHsOow9+AViL5txBbviLExqBMUQIgWAsqu7GDALBK1kYZGYiAxiNzB9ea/Up0Ty19apOf1gOD2yQFCmMZs4VQajjQV6zNZInhaQayBySgXPXMKZENlmcVRNPbCTeDKtPFZ77N4jfFXyKK5lUMyHb/QeQkC+IiqEAdaAya0ieMvccQL6vTx7f0KRBonNBin/npfKjSnNgwevqjwdJGJc9RHmjUuIQBDQIbsI87yMaHMkc1GgPptNgRWrycvfExkOv4HGFO3hGrDa0Y3C0/fDQ6ZRjmLh42lGbQAxXHlQQvDB74mSh55H/QZWsRwewB7cV887anhx1H/+/BUwyaIccF2YxKByhIREBfmphARhC23THCw8ziqXAJBbw3F2SdkIm4/6fbVR4aIz6h5Hqb2wR80PYVTK5y4sFOgOuhukxxzhGPALignMprEvto1d2PQW2+ktDL1WHBq8lSDYLfB/i4LCYV7g4+JwI/i5ECg9Zj76HnPDOdJUNDLgd0hPsoRHOcGPETb6h42fWOB+lzybCHcBZIDTC1CTxSmfBfl4DLMWoEqliufsTScszVsac6AxX6dBCwIKhtYLmGHT0CK+GKpkTV7HN92+id2HxNf6R2v9r7r9GXYf2efYBXYvWeYhafU9wm9bgw+HAUTdT4gBFAbIbZR1FuBkl0B5gEh9u0cnLwo/AkjrSy79fIQ5U1CDJ20ANWVjAQAklUQF6ATbyZBgTDvD/xSISRUGIVw9bCGtq6Hcs7VCjLFGyA8A9fuUNcYSB2yuwND1EeU6FhGIb5QUA+53srwp/FRs2dKw0YXeJaTVe4goZsJIU9EbrpPTC+qUhZRzKRetxCbhnqU+jghSHme0PvxAUkNroTRLzENRVOyUvsDFYllHzHfqgPjaKqDS05hDH2QeSzF/wtINLbVyogQIVS9VQkaO0AhXhEENLMenNqOJrYUuvSSVgOoegqC66oXgRNe92sf3jjpipkjUTlPtcsqxyDHiUReWZARL1ri1mgMj1/ITalE2L/2JgGwn7dtRHUdC7n6Rw4qBLvz0q0VBMd7BEpuzho07cprobtPcigSAkUuWD+RJIlOxkxv4VAvRHXV9eGOkXPOHrYJamLzM0tUxnLSmLug8Ih6MA3VtZWsvAVcAfX4tRYDVQYnCYgP+CKjsqIV8goxNyfIxIcEMNVewhExZARpBRwBfjUBh1T4CKnS+nf5XIVJnYzkN0SdIvFkmdR7ffp4t3MpvakVkb1TyppKTkWLvze3KgAALkTuRf0gYfV5zzO9oN7vHDlEcNrd8jdtuJrYCpgQEzOmGsKcPd/PUqWorENgRW8ExTNdaogUvK+v4a+5dMbs6ohmtekyJVQ9ly+5c20Vi7tgs9EGiahjsm6yJZjvNpqcV8gvTeSAR6a95302/Cc6w0a4qv9ixcovibdeuHfK2SrvuOs+a64o3/hGzSn8pWJzHbhU6bqvTVFqtM8iQYg4Ry9d0/hJYb4DUljmW5TgQs46Zy/s69aBSPITkETzUlaDqcHvDoklhNsq+XLbYnIq5lAt6VIZ3EfaPwQkBRSzJu31TgNfVdU9TailMIXZ2S/ZozPYcFuVCkk5LHku9rjidoLltTZDtwLQtKca59q7otQ8bfJPlZYoPLgYiagG9UAPkkgYV9PuW8VdTdTbXEJKh3UeHC5uJ85W+AuyXffZOI3TbchS1rfHLmLark3dEE0YgtrSk+6FcscG7XWWUjarK0kiK81CIMVma8StKZqf/mKe3YZXaJd8YQtP+GHhSBqKmQYxYEFDC+yAlxCDPkoVO83+h0sOBJEMpqtbq242Rcr0UACaGUfktpEGMTEI1HammvbVu2atl8E9XUYDpKliFSl6suL2Pnh6Qr3OCulhTZ4d51Tgesl1XGegErXLIXqsKsGv5DNu/WVPXIwvGuobUavOW0JWQZmGE0TZHfJTyHgosj1PtooR2NW/Z6weihNPcveCqu2FGL/LBGFOUOdhdaoWsJ8eWjRAAoaWr4834smsPtgSZzTtHzT/FggDmB751CYd1Y+jZAIStuGvE2szGsYkZCjtyG5WHpQV48JKBHObyyE/vInx2AX+M4/nQiaeHbwLNUtPCaQX4dsvhknI1ORBEX57CID1FSaabG4/Z+RsaupsTaFcCKSq8oJY0P4B4ouD3wdeLs4NH56hbVQzdyOng8uz9ljl0Imo87cHcFuzVjz89OHjxlMGFKPHmFoPvkB0d6puWrSnxI3fQT0yGd9rN2OkwUnH+4dRYm7ZBSCSaukqF3cD68fpWvwChKsidQUKfsb8A1GoSt+vLuvWIDkAmnigcBJa83X5mLRk1JREDbRcNN6Y8BfopdXJ5UgoeLQzA9k39nky6MUIcrR/9JJ+B+vs+kJHI0nWUZasrEzPhBVPND1RsNBcrW3mGe5AQukStyZBnGcImXA69JhDh6zvtXmZRHFEdGTzy9rM3zvqEtcaU5MEYLFpDjxnR3wFJQOJxtnOpHdfeitH1zK0S2xEmpO6rkMfNtbcFP0F2iXan37dQpS1Ne0UoI2NLvf79ij2bzE2ta1bmgM8b6m2Z6xMCps5FAoqEwXVS8pEuj6q9LCEw2nUWfWtCSE0T9tT1dmBeyxnS4vubvgIBDNJbgzBPdQsGvwf0Ko/tG2wk82i57Bn7rIsgCM3iDN8twlwMNoCu6ckyucTsPYKlweFS+TXJDivBQa69nOMbxWzmsalZqcaQnvXr6MZsA71P8xHYbL43o9+YYc3bMJ55FWbtRZhn9K4L7Z26ZsIXeC6/nPttMSCQgFroGDa6cB2rVoePg1d4KWD1n3VreerSwOp/bxf4PHyhzvTfaLm+QRosp3kC3rmzPnwbB9prWCTe8rEY88ZZZt6HQWx16L/BFZlckt6YqdTVVw4fJatmuRmv7fTD7ycXF6efgs/nF4zuLdSdwW9foOHk4sOpCniH/tGPFs32LRyW1rIiSxRRy0ey0QJ+xbLX5IXhVOfygYLPM7rRsPT8WIXyup19Y/nWD3la1HqNHQvIx9RGs1hNiSpqDAJHGc8DGtp6XVXlx5mi1OU+eyD7VRf23bXroPaU1Pcwb9tlgUtxzUPb8zp8rLkew9ljOJeVW9/7c7Da5sfCgstZMC7xPnlI11KYTdX4cQSSqFRCt96b1tbwUrxCBJeTjqwbGEzvd16ywmlUd6va/ZnIMKXC4eVa9RcMQ+c4aYmmaNnVjmiEAsPYAYiFExqLe3T4qDPcSnuTVryz3eJNniDeBPmVe4s3eVg8SLoIUe2SbPQEyUZPk2y0qWdrW4l/Y104QUm1GUp63aCMVrMMp6vuG41ON4BDbrU2bdme5RUGcjoW7nI2X3mHHtjy4B2cp6G7rI/91+OVt7yn7/5arQXi1hwGhTBrGS6gW12VT0bQmJZ6ajoxD6MdRMy6h0vztGrcHC1uuFTaWFnr0srr4GW6fcSLxwACPDglaV3fec2FzBAzNvCFuazCPBvHk6F1daHpbb3C9M1bWn3zfoRI48pF3np2UeKtPO2Vzie0g1IdzumfJ5+Cy9OrPz59O3YAzOLrhn5Up4VUkxoGfcMCL+rM6zC8nKCXkgvIzOHRQD5nMHDQlWNbe+b0YPy6xg+fwICLg7FgeXR8s6UQYU8yIwrVQK9J+iflpE7BeX7FX6UbCRmWMWGfoXldXtBL8r7GLwUabcD1NGRPCoXAW4q/6xggkZVmwTCM9oVPzHCWdFEW1au03e4MdqtbVtIWaCIggw4CckABXXIGgfZDSpG9/wMk3tvi'} |
| CALL_FUNC = 'eval_outputs' |
| CALL_ARGS = ['/home/user/Desktop/answer.blend'] |
| INIT_MAP = [('scene.blend', '/home/user/Desktop/scene.blend'), ('textures/blue.png', '/home/user/Desktop/textures/blue.png'), ('textures/green.png', '/home/user/Desktop/textures/green.png'), ('textures/red.png', '/home/user/Desktop/textures/red.png')] |
|
|
|
|
| def _decode(payload: str) -> bytes: |
| return zlib.decompress(base64.b64decode(payload.encode("ascii"))) |
|
|
|
|
| def _materialize_bundle(root: Path) -> None: |
| for rel, payload in BUNDLE.items(): |
| path = root / rel |
| path.parent.mkdir(parents=True, exist_ok=True) |
| path.write_bytes(_decode(payload)) |
| for dirname in ("init_file", "ground_truth", "_internal"): |
| (root / dirname).mkdir(parents=True, exist_ok=True) |
| for rel, desktop_path in INIT_MAP: |
| src = Path(desktop_path) |
| dst = root / "init_file" / rel |
| if src.exists(): |
| dst.parent.mkdir(parents=True, exist_ok=True) |
| shutil.copy2(src, dst) |
|
|
|
|
| def _bundle_python_paths(root: Path) -> list[str]: |
| paths: list[str] = [] |
| seen: set[str] = set() |
|
|
| def add(path: Path) -> None: |
| text = str(path) |
| if text not in seen: |
| seen.add(text) |
| paths.append(text) |
|
|
| add(root) |
| for rel in BUNDLE: |
| rel_path = Path(rel) |
| if rel_path.suffix == ".py" and rel_path.parent != Path("."): |
| add(root / rel_path.parent) |
| return paths |
|
|
|
|
| def _load_module(root: Path): |
| spec = importlib.util.spec_from_file_location("eval_inner", root / "eval_inner.py") |
| if spec is None or spec.loader is None: |
| raise RuntimeError("unable to load eval_inner.py") |
| module = importlib.util.module_from_spec(spec) |
| import sys |
|
|
| sys.modules["eval_inner"] = module |
| added_paths = _bundle_python_paths(root) |
| for path in reversed(added_paths): |
| sys.path.insert(0, path) |
| try: |
| spec.loader.exec_module(module) |
| finally: |
| for path in added_paths: |
| try: |
| sys.path.remove(path) |
| except ValueError: |
| pass |
| return module |
|
|
|
|
| def _is_pass(result) -> bool: |
| if isinstance(result, bool): |
| return result |
| if isinstance(result, dict): |
| if "pass" in result: |
| return bool(result["pass"]) |
| if "passed" in result: |
| return bool(result["passed"]) |
| if "all_passed" in result: |
| return bool(result["all_passed"]) |
| score = result.get("score", result.get("total_score")) |
| if isinstance(score, (int, float)): |
| return float(score) == 1.0 |
| for attr in ("all_passed", "passed"): |
| if hasattr(result, attr): |
| value = getattr(result, attr) |
| if isinstance(value, bool): |
| return value |
| for attr in ("score", "total_score"): |
| if hasattr(result, attr): |
| try: |
| return float(getattr(result, attr)) == 1.0 |
| except Exception: |
| pass |
| return False |
|
|
|
|
| def _resolve_arg(spec: str): |
| if spec == "__DESKTOP_DIR__": |
| return str(DESKTOP) |
| desktop_prefix = "/home/user/Desktop" |
| if spec.startswith(desktop_prefix): |
| rel = spec[len(desktop_prefix):].lstrip("/") |
| return str(DESKTOP / rel) if rel else str(DESKTOP) |
| return spec |
|
|
|
|
| def _call_inner(root: Path): |
| module = _load_module(root) |
| func = getattr(module, CALL_FUNC) |
| args = [_resolve_arg(arg) for arg in CALL_ARGS] |
| return func(*args) |
|
|
|
|
| def _have_bpy() -> bool: |
| try: |
| import bpy |
| return True |
| except Exception: |
| return False |
|
|
|
|
| def _run_via_blender(root: Path) -> bool: |
| result_path = root / "_blender_result.json" |
| runner_path = root / "_blender_runner.py" |
| added_paths = _bundle_python_paths(root) |
| args = [_resolve_arg(arg) for arg in CALL_ARGS] |
| runner_code = f""" |
| import importlib.util |
| import json |
| import sys |
| from pathlib import Path |
| |
| ROOT = Path({str(root)!r}) |
| RESULT_PATH = Path({str(result_path)!r}) |
| CALL_FUNC = {CALL_FUNC!r} |
| CALL_ARGS = {args!r} |
| ADDED_PATHS = {added_paths!r} |
| |
| |
| def _is_pass(result): |
| if isinstance(result, bool): |
| return result |
| if isinstance(result, dict): |
| if "pass" in result: |
| return bool(result["pass"]) |
| if "passed" in result: |
| return bool(result["passed"]) |
| if "all_passed" in result: |
| return bool(result["all_passed"]) |
| score = result.get("score", result.get("total_score")) |
| if isinstance(score, (int, float)): |
| return float(score) == 1.0 |
| for attr in ("all_passed", "passed"): |
| if hasattr(result, attr): |
| value = getattr(result, attr) |
| if isinstance(value, bool): |
| return value |
| for attr in ("score", "total_score"): |
| if hasattr(result, attr): |
| try: |
| return float(getattr(result, attr)) == 1.0 |
| except Exception: |
| pass |
| return False |
| |
| |
| spec = importlib.util.spec_from_file_location("eval_inner", ROOT / "eval_inner.py") |
| if spec is None or spec.loader is None: |
| raise RuntimeError("unable to load eval_inner.py") |
| module = importlib.util.module_from_spec(spec) |
| sys.modules["eval_inner"] = module |
| for path in reversed(ADDED_PATHS): |
| sys.path.insert(0, path) |
| try: |
| spec.loader.exec_module(module) |
| func = getattr(module, CALL_FUNC) |
| value = func(*CALL_ARGS) |
| RESULT_PATH.write_text(json.dumps({{"pass": _is_pass(value)}}), encoding="utf-8") |
| finally: |
| for path in ADDED_PATHS: |
| try: |
| sys.path.remove(path) |
| except ValueError: |
| pass |
| """ |
| runner_path.write_text(runner_code, encoding="utf-8") |
| try: |
| proc = subprocess.run( |
| [BLENDER_PATH, "--background", "--factory-startup", "--python", str(runner_path)], |
| capture_output=True, |
| text=True, |
| encoding="utf-8", |
| errors="replace", |
| timeout=600, |
| ) |
| except Exception: |
| return False |
| if result_path.exists(): |
| try: |
| payload = json.loads(result_path.read_text(encoding="utf-8")) |
| return bool(payload.get("pass")) |
| except Exception: |
| return False |
| return proc.returncode == 0 |
|
|
|
|
| def _run() -> bool: |
| import uuid |
|
|
| runtime_base = Path(__file__).resolve().parent / "_runtime" |
| runtime_base.mkdir(parents=True, exist_ok=True) |
| root = runtime_base / ("engiworld_eval_" + uuid.uuid4().hex) |
| root.mkdir(parents=True, exist_ok=False) |
| try: |
| _materialize_bundle(root) |
| if _have_bpy(): |
| return _is_pass(_call_inner(root)) |
| return _run_via_blender(root) |
| except Exception: |
| return False |
| finally: |
| shutil.rmtree(root, ignore_errors=True) |
|
|
|
|
| if __name__ == "__main__": |
| print("True" if _run() else "False") |
|
|
