          # Adjust eyebrow arrays
          landmarks[17:22] = top_l + ((top_l - bot_l) // 2)
          landmarks[22:27] = top_r + ((top_r - bot_r) // 2)
  
      def parse_parts(self, landmarks: np.ndarray) -> List[Tuple[np.ndarray, ...]]:
          """ Extended face hull mask """
          self._adjust_mask_top(landmarks)
  
          r_jaw = (landmarks[0:9], landmarks[17:18])
          l_jaw = (landmarks[8:17], landmarks[26:27])
 
</s> remove     def parse_parts(landmarks: np.ndarray) -> List[Tuple[np.ndarray, ...]]:
 </s> add     def parse_parts(landmarks: np.ndarray) -> list[tuple[np.ndarray, ...]]: </s> remove     def binning(self) -> List[List[str]]:
 </s> add     def binning(self) -> list[list[str]]: </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         samples: List[np.ndarray] = []
 </s> add         samples: list[np.ndarray] = [] </s> remove     def model_definition(self) -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition(self) -> tuple[list[Tensor], list[Tensor]]:
    def parse_parts(self, landmarks: np.ndarray) -> list[tuple[np.ndarray, ...]]:
          # Adjust eyebrow arrays
          landmarks[17:22] = top_l + ((top_l - bot_l) // 2)
          landmarks[22:27] = top_r + ((top_r - bot_r) // 2)
  
    def parse_parts(self, landmarks: np.ndarray) -> list[tuple[np.ndarray, ...]]:
          """ Extended face hull mask """
          self._adjust_mask_top(landmarks)
  
          r_jaw = (landmarks[0:9], landmarks[17:18])
          l_jaw = (landmarks[8:17], landmarks[26:27])
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/mask/extended.py