          skipframe = not any(map(lambda b: b[0] <= idx <= b[1], self._frame_ranges))
          logger.trace("idx: %s, skipframe: %s", idx, skipframe)  # type: ignore
          return skipframe
  
      def _get_detected_faces(self, filename: str, image: np.ndarray) -> T.List[DetectedFace]:
          """ Return the detected faces for the given image.
  
          If we have an alignments file, then the detected faces are created from that file. If
          we're running On-The-Fly then they will be extracted from the extractor.
  
 
</s> remove     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> T.List[DetectedFace]:
 </s> add     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> list[DetectedFace]: </s> remove     def _detect_faces(self, filename: str, image: np.ndarray) -> T.List[DetectedFace]:
 </s> add     def _detect_faces(self, filename: str, image: np.ndarray) -> list[DetectedFace]: </s> remove     def _rename_faces(self, filename_mappings: List[Tuple[str, str]]) -> int:
 </s> add     def _rename_faces(self, filename_mappings: list[tuple[str, str]]) -> int: </s> remove                          ) -> Dict[str, Dict[str, "AlignmentDict"]]:
 </s> add                          ) -> dict[str, dict[str, AlignmentDict]]: </s> remove     def face(self) -> Optional[np.ndarray]:
 </s> add     def face(self) -> np.ndarray | None:
    def _get_detected_faces(self, filename: str, image: np.ndarray) -> list[DetectedFace]:
          skipframe = not any(map(lambda b: b[0] <= idx <= b[1], self._frame_ranges))
          logger.trace("idx: %s, skipframe: %s", idx, skipframe)  # type: ignore
          return skipframe
  
    def _get_detected_faces(self, filename: str, image: np.ndarray) -> list[DetectedFace]:
          """ Return the detected faces for the given image.
  
          If we have an alignments file, then the detected faces are created from that file. If
          we're running On-The-Fly then they will be extracted from the extractor.
  
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 
scripts/convert.py