          return faces, rois, offsets
  
      @classmethod
      def move_box(cls,
                   box: List[int],
                   offset: Tuple[int, int]) -> List[int]:
          """Move the box to direction specified by vector offset
  
          Parameters
          ----------
          box: list
 
</s> remove     def pad_image(cls, box: List[int], image: np.ndarray) -> Tuple[np.ndarray, Tuple[int, int]]:
 </s> add     def pad_image(cls, box: list[int], image: np.ndarray) -> tuple[np.ndarray, tuple[int, int]]: </s> remove     def get_square_box(box: List[int]) -> List[int]:
 </s> add     def get_square_box(box: list[int]) -> list[int]: </s> remove     def _get_box_and_offset(self, face: "DetectedFace") -> Tuple[List[int], int]:
 </s> add     def _get_box_and_offset(self, face: DetectedFace) -> tuple[list[int], int]: </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         batch.data.append(dict(roi=roi, offsets=offsets))
 </s> add         batch.data.append({"roi": roi, "offsets": offsets})
                 box: list[int],
                 offset: tuple[int, int]) -> list[int]:
          return faces, rois, offsets
  
      @classmethod
      def move_box(cls,
                 box: list[int],
                 offset: tuple[int, int]) -> list[int]:
                 box: list[int],
                 offset: tuple[int, int]) -> list[int]:
          """Move the box to direction specified by vector offset
  
          Parameters
          ----------
          box: 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/align/cv2_dnn.py