      # <<< PROTECTED ACCESS METHODS >>> #
      # <<< INIT METHODS >>> #
      @classmethod
      def _get_model(cls,
                     git_model_id: Optional[int],
                     model_filename: Optional[Union[str, List[str]]]
                     ) -> Optional[Union[str, List[str]]]:
          """ Check if model is available, if not, download and unzip it """
          if model_filename is None:
              logger.debug("No model_filename specified. Returning None")
              return None
          if git_model_id is None:
 
</s> remove     def __init__(self, model_filename: Union[str, List[str]], git_model_id: int) -> None:
 </s> add     def __init__(self, model_filename: str | list[str], git_model_id: int) -> None: </s> remove                                  ) -> Tuple[np.ndarray, float, Tuple[int, int]]:
 </s> add                                  ) -> tuple[np.ndarray, float, tuple[int, int]]: </s> remove     def _remove_zero_sized_faces(self, batch_faces: List[List[DetectedFace]]
                                 ) -> List[List[DetectedFace]]:
 </s> add     def _remove_zero_sized_faces(self, batch_faces: list[list[DetectedFace]]
                                 ) -> list[list[DetectedFace]]: </s> remove     def _get_rotation_angles(rotation: Optional[str]) -> List[int]:
 </s> add     def _get_rotation_angles(rotation: str | None) -> list[int]: </s> remove     def _parallel_scaling(self) -> Dict[int, float]:
 </s> add     def _parallel_scaling(self) -> dict[int, float]:
                   git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None:
      # <<< PROTECTED ACCESS METHODS >>> #
      # <<< INIT METHODS >>> #
      @classmethod
      def _get_model(cls,
                   git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None:
                   git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None:
                   git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None:
          """ Check if model is available, if not, download and unzip it """
          if model_filename is None:
              logger.debug("No model_filename specified. Returning None")
              return None
          if git_model_id is None:
keep keep keep keep 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 
plugins/extract/_base.py