                             for feed_face in feed_faces]) / 255.0
          logger.trace("Compiled Feed faces. Shape: %s", retval.shape)  # type:ignore
          return retval
  
      def _predict(self, feed_faces: np.ndarray, batch_size: T.Optional[int] = None) -> np.ndarray:
          """ Run the Faceswap models' prediction function.
  
          Parameters
          ----------
          feed_faces: :class:`numpy.ndarray`
 
</s> remove     def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray:
 </s> add     def _compile_feed_faces(feed_faces: list[AlignedFace]) -> np.ndarray: </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 _get_predictions(self, feed_a: np.ndarray, feed_b: np.ndarray) -> T.Dict[str, np.ndarray]:
 </s> add     def _get_predictions(self, feed_a: np.ndarray, feed_b: np.ndarray) -> dict[str, np.ndarray]: </s> remove                         batch_size: T.Optional[int] = None,
                        images: T.Optional[T.List[str]] = None) -> DataGenerator:
 </s> add                         batch_size: int | None = None,
                        images: list[str] | None = None) -> DataGenerator:
    def _predict(self, feed_faces: np.ndarray, batch_size: int | None = None) -> np.ndarray:
                             for feed_face in feed_faces]) / 255.0
          logger.trace("Compiled Feed faces. Shape: %s", retval.shape)  # type:ignore
          return retval
  
    def _predict(self, feed_faces: np.ndarray, batch_size: int | None = None) -> np.ndarray:
          """ Run the Faceswap models' prediction function.
  
          Parameters
          ----------
          feed_faces: :class:`numpy.ndarray`
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 
scripts/convert.py