          diff_height_width = cast(int, face.height) - cast(int, face.width)
          offset = int(abs(diff_height_width / 2))
          return box, offset
  
      def align_image(self, batch: AlignerBatch) -> Tuple[List[np.ndarray],
                                                          List[List[int]],
                                                          List[Tuple[int, int]]]:
          """ Align the incoming image for prediction
  
          Parameters
          ----------
          batch: :class:`AlignerBatch`
 
</s> remove         box = cast(List[int], [face.left,
                               face.top,
                               face.right,
                               face.bottom])
        diff_height_width = cast(int, face.height) - cast(int, face.width)
 </s> add         box = T.cast(list[int], [face.left,
                                 face.top,
                                 face.right,
                                 face.bottom])
        diff_height_width = T.cast(int, face.height) - T.cast(int, face.width) </s> remove             x_center = (cast(int, face.left) + face.right) / 2.0
            y_center = (cast(int, face.top) + face.bottom) / 2.0 - cast(int, face.height) * 0.12
            scale = (cast(int, face.width) + cast(int, face.height)) * self.reference_scale
            center_scale[index, :, 0] = np.full(68, x_center, dtype='float32')
            center_scale[index, :, 1] = np.full(68, y_center, dtype='float32')
 </s> add             x_ctr = (T.cast(int, face.left) + face.right) / 2.0
            y_ctr = (T.cast(int, face.top) + face.bottom) / 2.0 - T.cast(int, face.height) * 0.12
            scale = (T.cast(int, face.width) + T.cast(int, face.height)) * self.reference_scale
            center_scale[index, :, 0] = np.full(68, x_ctr, dtype='float32')
            center_scale[index, :, 1] = np.full(68, y_ctr, dtype='float32') </s> remove     def _process_refeeds(self, batch: AlignerBatch) -> List[AlignerBatch]:
 </s> add     def _process_refeeds(self, batch: AlignerBatch) -> list[AlignerBatch]: </s> remove     def process_batch(self, batch: "AlignerBatch") -> List[np.ndarray]:
 </s> add     def process_batch(self, batch: AlignerBatch) -> list[np.ndarray]: </s> remove     def crop(self, batch: AlignerBatch, center_scale: np.ndarray) -> List[np.ndarray]:
 </s> add     def crop(self, batch: AlignerBatch, center_scale: np.ndarray) -> list[np.ndarray]:
    def align_image(self, batch: AlignerBatch) -> tuple[list[np.ndarray],
                                                        list[list[int]],
                                                        list[tuple[int, int]]]:
          diff_height_width = cast(int, face.height) - cast(int, face.width)
          offset = int(abs(diff_height_width / 2))
          return box, offset
  
    def align_image(self, batch: AlignerBatch) -> tuple[list[np.ndarray],
                                                        list[list[int]],
                                                        list[tuple[int, int]]]:
    def align_image(self, batch: AlignerBatch) -> tuple[list[np.ndarray],
                                                        list[list[int]],
                                                        list[tuple[int, int]]]:
    def align_image(self, batch: AlignerBatch) -> tuple[list[np.ndarray],
                                                        list[list[int]],
                                                        list[tuple[int, int]]]:
          """ Align the incoming image for prediction
  
          Parameters
          ----------
          batch: :class:`AlignerBatch`
keep keep keep keep replace 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/cv2_dnn.py