  
  _FACE_CACHES: Dict[str, "_Cache"] = {}
  
  
  def get_cache(side: Literal["a", "b"],
                filenames: Optional[List[str]] = None,
                config: Optional[Dict[str, "ConfigValueType"]] = None,
                size: Optional[int] = None,
                coverage_ratio: Optional[float] = None) -> "_Cache":
      """ Obtain a :class:`_Cache` object for the given side. If the object does not pre-exist then
      create it.
  
      Parameters
      ----------
 
</s> remove 
_FACE_CACHES: Dict[str, "_Cache"] = {}
 </s> add _FACE_CACHES: dict[str, "_Cache"] = {} </s> remove                         batch_size: T.Optional[int] = None,
                        images: T.Optional[T.List[str]] = None) -> DataGenerator:
 </s> add                         batch_size: int | None = None,
                        images: list[str] | None = None) -> DataGenerator: </s> remove                  configfile: Optional[str] = None,
                 config: Optional[FaceswapConfig] = None) -> None:
 </s> add                  configfile: str | None = None,
                 config: FaceswapConfig | None = None) -> None: </s> remove                  name: Optional[str] = None,
                 args: Optional[Tuple] = None,
                 kwargs: Optional[Dict[str, Any]] = None) -> None:
 </s> add                  name: str | None = None,
                 args: tuple | None = None,
                 kwargs: dict[str, T.Any] | None = None) -> None: </s> remove                  filenames: List[str],
                 config: Dict[str, "ConfigValueType"],
 </s> add                  filenames: list[str],
                 config: dict[str, ConfigValueType],
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
  
  _FACE_CACHES: Dict[str, "_Cache"] = {}
  
  
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
def get_cache(side: T.Literal["a", "b"],
              filenames: list[str] | None = None,
              config: dict[str, ConfigValueType] | None = None,
              size: int | None = None,
              coverage_ratio: float | None = None) -> "_Cache":
      """ Obtain a :class:`_Cache` object for the given side. If the object does not pre-exist then
      create it.
  
      Parameters
      ----------
keep keep keep keep replace replace replace 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