          logger.debug("Putting EOF to converter")
          patch_queue_in.put("EOF")
  
      def _patch_faces(self,
                       queue_in: "EventQueue",
                       queue_out: "EventQueue",
                       sample_size: int) -> List[np.ndarray]:
          """ Patch faces.
  
          Run the convert process on the swapped faces and return the patched faces.
  
          patch_queue_in: :class:`~lib.queue_manager.EventQueue`
 
</s> remove     def _feed_swapped_faces(patch_queue_in: "EventQueue", samples: Samples) -> None:
 </s> add     def _feed_swapped_faces(patch_queue_in: EventQueue, samples: Samples) -> None: </s> remove                  patch_queue_in: "EventQueue",
 </s> add                  patch_queue_in: EventQueue, </s> remove     def _patch_image(self, predicted: "ConvertItem") -> Union[np.ndarray, List[bytes]]:
 </s> add     def _patch_image(self, predicted: ConvertItem) -> np.ndarray | list[bytes]: </s> remove     def process(self, in_queue: "EventQueue", out_queue: "EventQueue"):
 </s> add     def process(self, in_queue: EventQueue, out_queue: EventQueue): </s> remove     def _predict(self, feed_faces: np.ndarray, batch_size: T.Optional[int] = None) -> np.ndarray:
 </s> add     def _predict(self, feed_faces: np.ndarray, batch_size: int | None = None) -> np.ndarray:
                     queue_in: EventQueue,
                     queue_out: EventQueue,
                     sample_size: int) -> list[np.ndarray]:
          logger.debug("Putting EOF to converter")
          patch_queue_in.put("EOF")
  
      def _patch_faces(self,
                     queue_in: EventQueue,
                     queue_out: EventQueue,
                     sample_size: int) -> list[np.ndarray]:
                     queue_in: EventQueue,
                     queue_out: EventQueue,
                     sample_size: int) -> list[np.ndarray]:
                     queue_in: EventQueue,
                     queue_out: EventQueue,
                     sample_size: int) -> list[np.ndarray]:
          """ Patch faces.
  
          Run the convert process on the swapped faces and return the patched faces.
  
          patch_queue_in: :class:`~lib.queue_manager.EventQueue`
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 
tools/preview/preview.py