          sub_folders: List[Optional[str]] = [None for _ in range(len(faces))]
          if not self._active:
              return faces, sub_folders
  
          retval: List["DetectedFace"] = []
          for idx, face in enumerate(faces):
              aligned = AlignedFace(landmarks=face.landmarks_xy, centering="face")
  
              if self._features and aligned.relative_eye_mouth_position < 0.0:
                  self._handle_filtered("features", face, retval, sub_folders, idx)
 
</s> remove         sub_folders: List[Optional[str]] = [None for _ in range(len(faces))]
 </s> add         sub_folders: list[str | None] = [None for _ in range(len(faces))] </s> remove         retval: T.List[DetectedFace] = []
 </s> add         retval: list[DetectedFace] = [] </s> remove             retval = dict(faces_dir=faces,
                          frames_dir=[None for _ in range(len(faces))],
                          alignments_file=[None for _ in range(len(faces))])
 </s> add             retval = {"faces_dir": faces,
                      "frames_dir": [None for _ in range(len(faces))],
                      "alignments_file": [None for _ in range(len(faces))]} </s> remove         retval: List[np.ndarray] = []
        filtered_landmarks: List[np.ndarray] = []
 </s> add         retval: list[np.ndarray] = []
        filtered_landmarks: list[np.ndarray] = [] </s> remove             faces: list[Optional[str]] = [None for _ in range(len(frames))]
 </s> add             faces: list[str | None] = [None for _ in range(len(frames))]
        retval: list[DetectedFace] = []
          sub_folders: List[Optional[str]] = [None for _ in range(len(faces))]
          if not self._active:
              return faces, sub_folders
  
        retval: list[DetectedFace] = []
          for idx, face in enumerate(faces):
              aligned = AlignedFace(landmarks=face.landmarks_xy, centering="face")
  
              if self._features and aligned.relative_eye_mouth_position < 0.0:
                  self._handle_filtered("features", face, retval, sub_folders, idx)
keep keep keep keep 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