Download task/single-software-execution/cli/blender/task-41/eval.py from HongchengGao/EngiWorld-Tasks: direct link, hf CLI and curl.
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- Download file 13.3 kB
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https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/blender/task-41/eval.py
- Command line
-
hf download hf://datasets/HongchengGao/EngiWorld-Tasks/task/single-software-execution/cli/blender/task-41/eval.py
-
curl -L -o eval.py https://huggingface.co/datasets/HongchengGao/EngiWorld-Tasks/resolve/main/task/single-software-execution/cli/blender/task-41/eval.py
13.3 kB
| 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': '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'} | |
| CALL_FUNC = 'eval_outputs' | |
| CALL_ARGS = ['/home/user/Desktop/answer.blend'] | |
| INIT_MAP = [('character.blend', '/home/user/Desktop/character.blend'), ('walk.bvh', '/home/user/Desktop/walk.bvh')] | |
| 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 # noqa: F401 | |
| 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") | |