          logger.trace("Padded image shape: %s", image.shape)  # type:ignore[attr-defined]
          return image
  
      # <<< FINALIZE METHODS >>> #
      def _remove_zero_sized_faces(self, batch_faces: List[List[DetectedFace]]
                                   ) -> List[List[DetectedFace]]:
          """ Remove items from batch_faces where detected face is of zero size or face falls
          entirely outside of image
  
          Parameters
          ----------
 
</s> remove                                  ) -> Tuple[np.ndarray, float, Tuple[int, int]]:
 </s> add                                  ) -> tuple[np.ndarray, float, tuple[int, int]]: </s> remove     def _filter_small_faces(self, detected_faces: List[List[DetectedFace]]
                            ) -> List[List[DetectedFace]]:
 </s> add     def _filter_small_faces(self, detected_faces: list[list[DetectedFace]]
                            ) -> list[list[DetectedFace]]: </s> remove     def _get_item(self, queue: "Queue") -> Union[Literal["EOF"], ExtractMedia, BatchType]:
 </s> add     def _get_item(self, queue: Queue) -> T.Literal["EOF"] | ExtractMedia | BatchType: </s> remove     def pad_image(cls, box: List[int], image: np.ndarray) -> Tuple[np.ndarray, Tuple[int, int]]:
 </s> add     def pad_image(cls, box: list[int], image: np.ndarray) -> tuple[np.ndarray, tuple[int, int]]: </s> remove                    git_model_id: Optional[int],
                   model_filename: Optional[Union[str, List[str]]]
                   ) -> Optional[Union[str, List[str]]]:
 </s> add                    git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None:
    def _remove_zero_sized_faces(self, batch_faces: list[list[DetectedFace]]
                                 ) -> list[list[DetectedFace]]:
          logger.trace("Padded image shape: %s", image.shape)  # type:ignore[attr-defined]
          return image
  
      # <<< FINALIZE METHODS >>> #
    def _remove_zero_sized_faces(self, batch_faces: list[list[DetectedFace]]
                                 ) -> list[list[DetectedFace]]:
    def _remove_zero_sized_faces(self, batch_faces: list[list[DetectedFace]]
                                 ) -> list[list[DetectedFace]]:
          """ Remove items from batch_faces where detected face is of zero size or face falls
          entirely outside of image
  
          Parameters
          ----------
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 
plugins/extract/detect/_base.py