                                dtype="float32")
  
      def predict(self, feed: np.ndarray) -> np.ndarray:
          """ Run model to get predictions """
          faces: List["AlignedFace"] = feed[1]
          feed = feed[0]
          for mask, face in zip(feed, faces):
              parts = self.parse_parts(np.array(face.landmarks))
              for item in parts:
                  item = np.rint(np.concatenate(item)).astype("int32")
 
</s> remove         faces: List["AlignedFace"] = feed[1]
 </s> add         faces: list[AlignedFace] = feed[1] </s> remove         batch.feed = np.array([cast(np.ndarray, feed.face)[..., :3]
 </s> add         batch.feed = np.array([T.cast(np.ndarray, feed.face)[..., :3] </s> remove         batch.feed = np.array([cast(np.ndarray, feed.face)[..., :3]
 </s> add         batch.feed = np.array([T.cast(np.ndarray, feed.face)[..., :3] </s> remove                 feed: Union[List[np.ndarray], np.ndarray],
                batch_size: Optional[int] = None) -> Union[List[np.ndarray], np.ndarray]:
 </s> add                 feed: list[np.ndarray] | np.ndarray,
                batch_size: int | None = None) -> list[np.ndarray] | np.ndarray: </s> remove     def parse_parts(landmarks: np.ndarray) -> List[Tuple[np.ndarray, ...]]:
 </s> add     def parse_parts(landmarks: np.ndarray) -> list[tuple[np.ndarray, ...]]:
        faces: list[AlignedFace] = feed[1]
                                dtype="float32")
  
      def predict(self, feed: np.ndarray) -> np.ndarray:
          """ Run model to get predictions """
        faces: list[AlignedFace] = feed[1]
          feed = feed[0]
          for mask, face in zip(feed, faces):
              parts = self.parse_parts(np.array(face.landmarks))
              for item in parts:
                  item = np.rint(np.concatenate(item)).astype("int32")
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/components.py