          logger.debug("Putting EOF")
          out_queue.put("EOF")
  
      # <<< QUEUE METHODS >>> #
      def _get_item(self, queue: "Queue") -> Union[Literal["EOF"], ExtractMedia, BatchType]:
          """ Yield one item from a queue """
          item = queue.get()
          if isinstance(item, ExtractMedia):
              logger.trace("filename: '%s', image shape: %s, detected_faces: %s, "  # type:ignore
                           "queue: %s, item: %s",
 
</s> remove     def get_batch(self, queue: "Queue") -> Tuple[bool, DetectorBatch]:
 </s> add     def get_batch(self, queue: Queue) -> tuple[bool, DetectorBatch]: </s> remove                  image: "np.ndarray",
                 detected_faces: Optional[List["DetectedFace"]] = None,
 </s> add                  image: np.ndarray,
                 detected_faces: list[DetectedFace] | None = None, </s> remove                                  ) -> Tuple[np.ndarray, float, Tuple[int, int]]:
 </s> add                                  ) -> tuple[np.ndarray, float, tuple[int, int]]: </s> remove     def _remove_zero_sized_faces(self, batch_faces: List[List[DetectedFace]]
                                 ) -> List[List[DetectedFace]]:
 </s> add     def _remove_zero_sized_faces(self, batch_faces: list[list[DetectedFace]]
                                 ) -> list[list[DetectedFace]]: </s> remove                  model_kwargs: Optional[dict] = None,
 </s> add                  model_kwargs: dict | None = None,
    def _get_item(self, queue: Queue) -> T.Literal["EOF"] | ExtractMedia | BatchType:
          logger.debug("Putting EOF")
          out_queue.put("EOF")
  
      # <<< QUEUE METHODS >>> #
    def _get_item(self, queue: Queue) -> T.Literal["EOF"] | ExtractMedia | BatchType:
          """ Yield one item from a queue """
          item = queue.get()
          if isinstance(item, ExtractMedia):
              logger.trace("filename: '%s', image shape: %s, detected_faces: %s, "  # type:ignore
                           "queue: %s, item: %s",
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/_base.py