"""Resource and renderer setup, before LIBERO or OpenGL is imported.""" import hashlib import json import os from pathlib import Path import sys import tempfile ROOT = Path(__file__).resolve().parent.parent RESOURCES = Path(__file__).resolve().parent / "resources" def configure(*, renderer=None, config_dir=None): selected = renderer or os.environ.get("MUJOCO_GL", "osmesa") if selected not in ("osmesa", "egl"): raise ValueError("renderer must be osmesa or egl") if "mujoco" in sys.modules and os.environ.get("MUJOCO_GL") != selected: raise RuntimeError("renderer is already initialized; use a fresh process") os.environ["MUJOCO_GL"] = os.environ["PYOPENGL_PLATFORM"] = selected for name in ("OMP_NUM_THREADS", "OPENBLAS_NUM_THREADS", "MKL_NUM_THREADS"): if not os.environ.get(name, '').isdigit() or int(os.environ[name]) < 1: os.environ[name] = "1" base = ROOT / "libero/libero" extension = ROOT / "libero_rotation_planning" paths = dict(benchmark_root=str(base), assets=str(base / "assets"), bddl_files=str(extension / "bddl_files"), init_states=str(extension / "init_files"), datasets=str(RESOURCES / "expert_reference/dataset")) cache = Path(os.environ.get("XDG_CACHE_HOME", Path.home() / ".cache")) default = cache / "libero-geomotion" / hashlib.sha256(str(ROOT).encode()).hexdigest()[:16] target = Path(config_dir or os.environ.get("LIBERO_CONFIG_PATH", default)).resolve() existing_config = getattr(sys.modules.get("libero.libero"), "config_file", None) if existing_config is not None: existing = Path(existing_config).resolve() if existing != target / "config.yaml": raise RuntimeError("LIBERO config already initialized; use a fresh process") target.mkdir(parents=True, exist_ok=True) contents = json.dumps(paths, indent=2) + "\n" path = target / "config.yaml" if not path.exists() or path.read_text() != contents: with tempfile.NamedTemporaryFile(mode="w", dir=target, delete=False) as stream: stream.write(contents) temporary = stream.name os.replace(temporary, path) os.environ["LIBERO_CONFIG_PATH"] = str(target) return paths def reference_manifest(): return json.loads((RESOURCES / "expert_reference/reference_manifest.json").read_text()) def evaluation_protocol(): return json.loads((RESOURCES / "evaluation_protocol.json").read_text()) def task_manifest(): path = ROOT / "libero_rotation_planning/benchmark/task_manifest.json" return json.loads(path.read_text())