  
          faces.append(face)
          sub_folders[sub_folder_index] = f"_align_filt_{key}"
  
      def __call__(self, faces: List["DetectedFace"], minimum_dimension: int
                   ) -> Tuple[List["DetectedFace"], List[Optional[str]]]:
          """ Apply the filter to the incoming batch
  
          Parameters
          ----------
          faces: list
 
</s> remove                  faces: T.List[DetectedFace],
                 sub_folders: T.List[T.Optional[str]]) -> T.List[DetectedFace]:
 </s> add                  faces: list[DetectedFace],
                 sub_folders: list[str | None]) -> list[DetectedFace]: </s> remove     def add_detected_faces(self, faces: List["DetectedFace"]) -> None:
 </s> add     def add_detected_faces(self, faces: list[DetectedFace]) -> None: </s> remove                          face: "DetectedFace",
                         faces: List["DetectedFace"],
                         sub_folders: List[Optional[str]],
 </s> add                          face: DetectedFace,
                         faces: list[DetectedFace],
                         sub_folders: list[str | None], </s> remove     def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray:
 </s> add     def _compile_feed_faces(feed_faces: list[AlignedFace]) -> np.ndarray: </s> remove         faces: List["AlignedFace"] = feed[1]
 </s> add         faces: list[AlignedFace] = feed[1]
    def __call__(self, faces: list[DetectedFace], minimum_dimension: int
                 ) -> tuple[list[DetectedFace], list[str | None]]:
  
          faces.append(face)
          sub_folders[sub_folder_index] = f"_align_filt_{key}"
  
    def __call__(self, faces: list[DetectedFace], minimum_dimension: int
                 ) -> tuple[list[DetectedFace], list[str | None]]:
    def __call__(self, faces: list[DetectedFace], minimum_dimension: int
                 ) -> tuple[list[DetectedFace], list[str | None]]:
          """ Apply the filter to the incoming batch
  
          Parameters
          ----------
          faces: list
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/align/_base/processing.py