Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
time-series
time-series-decomposition
benchmark
component-recovery
symbolic-regression
icml-2026
License:
| from __future__ import annotations | |
| from importlib import import_module, machinery, util | |
| from pathlib import Path | |
| from types import ModuleType | |
| from typing import Any, Dict, Iterator | |
| import os | |
| import site | |
| import sys | |
| _MODULE: ModuleType | None = None | |
| _IMPORT_ERROR: Exception | None = None | |
| def _candidate_paths() -> Iterator[Path]: | |
| pkg_dir = Path(__file__).resolve().parent | |
| suffixes = tuple(machinery.EXTENSION_SUFFIXES) | |
| for suffix in suffixes: | |
| name = f"_tsdecomp_native{suffix}" | |
| yield pkg_dir / name | |
| def _external_candidate_paths() -> Iterator[Path]: | |
| suffixes = tuple(machinery.EXTENSION_SUFFIXES) | |
| site_roots = [Path(path) for path in site.getsitepackages()] | |
| user_site = site.getusersitepackages() | |
| if user_site: | |
| site_roots.append(Path(user_site)) | |
| for suffix in suffixes: | |
| name = f"_tsdecomp_native{suffix}" | |
| for root in site_roots: | |
| yield root / "tsdecomp" / name | |
| yield root / name | |
| def _load_from_path(path: Path) -> ModuleType: | |
| spec = util.spec_from_file_location("tsdecomp._tsdecomp_native", path) | |
| if spec is None or spec.loader is None: | |
| raise ImportError(f"Could not create module spec for native extension at {path}") | |
| module = util.module_from_spec(spec) | |
| sys.modules["tsdecomp._tsdecomp_native"] = module | |
| spec.loader.exec_module(module) | |
| return module | |
| _MODULE_NAMES = ["tsdecomp._tsdecomp_native"] | |
| if os.environ.get("TSDECOMP_ALLOW_EXTERNAL_NATIVE") == "1": | |
| _MODULE_NAMES.append("_tsdecomp_native") | |
| for _module_name in _MODULE_NAMES: | |
| try: | |
| _MODULE = import_module(_module_name) | |
| _IMPORT_ERROR = None | |
| break | |
| except Exception as exc: # pragma: no cover - import error depends on env/build | |
| _IMPORT_ERROR = exc | |
| if _MODULE is None: | |
| candidates = _candidate_paths() | |
| if os.environ.get("TSDECOMP_ALLOW_EXTERNAL_NATIVE") == "1": | |
| candidates = iter([*candidates, *_external_candidate_paths()]) | |
| for _candidate in candidates: | |
| if not _candidate.exists(): | |
| continue | |
| try: | |
| _MODULE = _load_from_path(_candidate) | |
| _IMPORT_ERROR = None | |
| break | |
| except Exception as exc: # pragma: no cover - import error depends on env/build | |
| _IMPORT_ERROR = exc | |
| sys.modules.pop("tsdecomp._tsdecomp_native", None) | |
| def native_extension_available() -> bool: | |
| return _MODULE is not None | |
| def native_import_error() -> Exception | None: | |
| return _IMPORT_ERROR | |
| def native_capabilities() -> Dict[str, bool]: | |
| if _MODULE is None: | |
| return {} | |
| if hasattr(_MODULE, "capabilities"): | |
| data = getattr(_MODULE, "capabilities")() | |
| if isinstance(data, dict): | |
| return {str(key): bool(val) for key, val in data.items()} | |
| return { | |
| name: hasattr(_MODULE, name) | |
| for name in ( | |
| "ssa_decompose", | |
| "dr_ts_reg_decompose", | |
| "std_decompose", | |
| "gabor_stft_rfft", | |
| "gabor_istft_rfft", | |
| "gabor_cluster_decompose", | |
| ) | |
| } | |
| def has_native_method(name: str) -> bool: | |
| return _MODULE is not None and hasattr(_MODULE, name) | |
| def invoke_native(name: str, *args: Any, **kwargs: Any) -> Any: | |
| if _MODULE is None: | |
| raise RuntimeError("Native extension is not available.") from _IMPORT_ERROR | |
| if not hasattr(_MODULE, name): | |
| raise AttributeError(f"Native extension does not export '{name}'.") | |
| return getattr(_MODULE, name)(*args, **kwargs) | |