                   coverage_ratio: float) -> None:
          logger.debug("Initializing: %s (filenames: %s, size: %s, coverage_ratio: %s)",
                       self.__class__.__name__, len(filenames), size, coverage_ratio)
          self._lock = Lock()
          self._cache_info = dict(cache_full=False, has_reset=False)
          self._partially_loaded: List[str] = []
  
          self._image_count = len(filenames)
          self._cache: Dict[str, DetectedFace] = {}
          self._aligned_landmarks: Dict[str, np.ndarray] = {}
          self._extract_version = 0.0
 
</s> remove         self._cache: Dict[str, DetectedFace] = {}
        self._aligned_landmarks: Dict[str, np.ndarray] = {}
 </s> add         self._cache: dict[str, DetectedFace] = {}
        self._aligned_landmarks: dict[str, np.ndarray] = {} </s> remove                  filenames: List[str],
                 config: Dict[str, "ConfigValueType"],
 </s> add                  filenames: list[str],
                 config: dict[str, ConfigValueType], </s> remove         self._images: Dict[str, "np.ndarray"] = {}
 </s> add         self._images: dict[str, np.ndarray] = {} </s> remove         assert config["centering"] in get_args(CenteringType)
        self._centering: CenteringType = cast(CenteringType, config["centering"])
 </s> add         assert config["centering"] in T.get_args(CenteringType)
        self._centering: CenteringType = T.cast(CenteringType, config["centering"]) </s> remove                  configfile: Optional[str] = None,
                 config: Optional[FaceswapConfig] = None) -> None:
 </s> add                  configfile: str | None = None,
                 config: FaceswapConfig | None = None) -> None:
        self._cache_info = {"cache_full": False, "has_reset": False}
        self._partially_loaded: list[str] = []
                   coverage_ratio: float) -> None:
          logger.debug("Initializing: %s (filenames: %s, size: %s, coverage_ratio: %s)",
                       self.__class__.__name__, len(filenames), size, coverage_ratio)
          self._lock = Lock()
        self._cache_info = {"cache_full": False, "has_reset": False}
        self._partially_loaded: list[str] = []
        self._cache_info = {"cache_full": False, "has_reset": False}
        self._partially_loaded: list[str] = []
  
          self._image_count = len(filenames)
          self._cache: Dict[str, DetectedFace] = {}
          self._aligned_landmarks: Dict[str, np.ndarray] = {}
          self._extract_version = 0.0
keep keep keep keep replace replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
lib/training/cache.py