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refactor(libero): inline init_states resolver behind single regex
Collapse the three-style suffix stripper (split/re.sub/in) into one compiled regex, drop the (Path, bool) tuple return, and move the `_add_`/`_level` reshape branch into the caller so each branch loads its own file and returns directly. Net: -11 lines, one fewer helper. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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+18
-38
@@ -70,48 +70,28 @@ def _select_task_ids(total_tasks: int, task_ids: Iterable[int] | None) -> list[i
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return ids
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def _resolve_libero_init_states_path(task: Any) -> tuple[Path, bool]:
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"""Resolve the on-disk init_states path for a LIBERO task.
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LIBERO-plus perturbation variants encode the perturbation in the filename
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(_table_N, _tb_N, _view_, _language_, _light_, _add_, _level) but only the
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base `.pruned_init` exists on disk. Mirror LIBERO-plus's own suffix-stripping
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(libero/libero/benchmark/__init__.py) so we can load with `weights_only=False`
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ourselves instead of delegating to the suite (whose `torch.load` call omits
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that flag and fails on PyTorch 2.6+ numpy pickles).
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Returns (path, needs_reshape) — `_add_`/`_level` variants store a flat
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init_state that must be reshaped to (1, -1).
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"""
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filename = task.init_states_file
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problem_folder = task.problem_folder
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ext = filename.rsplit(".", 1)[-1]
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root = Path(get_libero_path("init_states"))
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needs_reshape = "_add_" in filename or "_level" in filename
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if needs_reshape:
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return root / "libero_newobj" / problem_folder / filename, True
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if "_language_" in filename:
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filename = filename.split("_language_")[0] + "." + ext
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elif "_view_" in filename:
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filename = filename.split("_view_")[0] + "." + ext
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else:
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if "_table_" in filename:
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filename = re.sub(r"_table_\d+", "", filename)
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if "_tb_" in filename:
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filename = re.sub(r"_tb_\d+", "", filename)
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if "_light_" in filename:
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filename = filename.split("_light_")[0] + "." + ext
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return root / problem_folder / filename, False
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# LIBERO-plus perturbation variants encode the perturbation in the filename
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# but on disk only the base `.pruned_init` exists — strip the suffix to match
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# LIBERO-plus's own suite.get_task_init_states() (we reimplement it here so we
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# can pass weights_only=False for PyTorch 2.6+ numpy pickles).
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_LIBERO_PERTURBATION_SUFFIX_RE = re.compile(r"_(?:language|view|light)_[^.]*|_(?:table|tb)_\d+")
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def get_task_init_states(task_suite: Any, i: int) -> np.ndarray:
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task = task_suite.tasks[i]
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init_states_path, needs_reshape = _resolve_libero_init_states_path(task)
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init_states = torch.load(init_states_path, weights_only=False) # nosec B614
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if needs_reshape:
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init_states = init_states.reshape(1, -1)
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return init_states
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filename = Path(task.init_states_file)
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root = Path(get_libero_path("init_states"))
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# `_add_` / `_level` variants store extra-object layouts under libero_newobj/
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# as a flat array that must be reshaped to (1, -1).
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if "_add_" in filename.name or "_level" in filename.name:
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init_states_path = root / "libero_newobj" / task.problem_folder / filename.name
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init_states = torch.load(init_states_path, weights_only=False) # nosec B614
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return init_states.reshape(1, -1)
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stripped = _LIBERO_PERTURBATION_SUFFIX_RE.sub("", filename.stem) + filename.suffix
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init_states_path = root / task.problem_folder / stripped
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return torch.load(init_states_path, weights_only=False) # nosec B614
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def get_libero_dummy_action():
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