              self._tracked_batchs[batch.batch_id] = {"filtered_landmarks": filtered_landmarks}
          batch.landmarks = np.array([])  # Clear the old landmarks
          return retval
  
      def _transform_to_frame(self, batch: "AlignerBatch") -> np.ndarray:
          """ Transform the predicted landmarks from the aligned face image back into frame
          co-ordinates
  
          Parameters
          ----------
 
</s> remove     def process_output(self, subbatches: List["AlignerBatch"], batch_masks: np.ndarray) -> None:
 </s> add     def process_output(self, subbatches: list[AlignerBatch], batch_masks: np.ndarray) -> None: </s> remove     def _re_insert_filtered(self, batch: "AlignerBatch", masks: np.ndarray) -> np.ndarray:
 </s> add     def _re_insert_filtered(self, batch: AlignerBatch, masks: np.ndarray) -> np.ndarray: </s> remove         faces: List[AlignedFace] = batch.data[0]["aligned_faces"]
 </s> add         faces: list[AlignedFace] = batch.data[0]["aligned_faces"] </s> remove     def _get_closest_match(self, filenames: List[str], batch_src_points: np.ndarray) -> np.ndarray:
 </s> add     def _get_closest_match(self, filenames: list[str], batch_src_points: np.ndarray) -> np.ndarray: </s> remove     def get_faces(self, frame: str, image: Optional["np.ndarray"] = None) -> None:
 </s> add     def get_faces(self, frame: str, image: np.ndarray | None = None) -> None:
    def _transform_to_frame(self, batch: AlignerBatch) -> np.ndarray:
              self._tracked_batchs[batch.batch_id] = {"filtered_landmarks": filtered_landmarks}
          batch.landmarks = np.array([])  # Clear the old landmarks
          return retval
  
    def _transform_to_frame(self, batch: AlignerBatch) -> np.ndarray:
          """ Transform the predicted landmarks from the aligned face image back into frame
          co-ordinates
  
          Parameters
          ----------
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