                    for faces in batch_faces]
          logger.trace("Output sizes: %s", [len(face) for face in retval])  # type: ignore
          return retval
  
      def _filter_small_faces(self, detected_faces: List[List[DetectedFace]]
                              ) -> List[List[DetectedFace]]:
          """ Filter out any faces smaller than the min size threshold
  
          Parameters
          ----------
          detected_faces: list
 
</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                       filenames: List[str],
 </s> add                       filenames: list[str], </s> remove                       faces: T.List[DetectedFace],
                      sub_folders: T.List[T.Optional[str]],
                      should_filter: T.List[bool]) -> T.List[DetectedFace]:
 </s> add                       faces: list[DetectedFace],
                      sub_folders: list[str | None],
                      should_filter: list[bool]) -> list[DetectedFace]: </s> remove         should_filter: T.List[np.ndarray] = []
        for f_type in get_args(Literal["filter", "nfilter"]):
 </s> add         should_filter: list[np.ndarray] = []
        for f_type in T.get_args(T.Literal["filter", "nfilter"]): </s> remove                       filenames: List[str],
 </s> add                       filenames: list[str],
    def _filter_small_faces(self, detected_faces: list[list[DetectedFace]]
                            ) -> list[list[DetectedFace]]:
                    for faces in batch_faces]
          logger.trace("Output sizes: %s", [len(face) for face in retval])  # type: ignore
          return retval
  
    def _filter_small_faces(self, detected_faces: list[list[DetectedFace]]
                            ) -> list[list[DetectedFace]]:
    def _filter_small_faces(self, detected_faces: list[list[DetectedFace]]
                            ) -> list[list[DetectedFace]]:
          """ Filter out any faces smaller than the min size threshold
  
          Parameters
          ----------
          detected_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/detect/_base.py