          return retval
  
      def _do_linkage(self,
                      predictions: np.ndarray,
                      method: Literal["single", "centroid", "median", "ward"]) -> np.ndarray:
          """ Use FastCluster to perform vector or standard linkage
  
          Parameters
          ----------
          predictions: :class:`numpy.ndarray`
 
</s> remove                  method: Literal["single", "centroid", "median", "ward"],
                 threshold: Optional[float] = None) -> None:
 </s> add                  method: T.Literal["single", "centroid", "median", "ward"],
                 threshold: float | None = None) -> None: </s> remove     def _compile_preview(self, predictions: T.Dict[str, np.ndarray]) -> np.ndarray:
 </s> add     def _compile_preview(self, predictions: dict[str, np.ndarray]) -> np.ndarray: </s> remove                        side: Literal["a", "b"],
                       samples: T.List[np.ndarray],
                       predictions: T.List[np.ndarray]) -> T.List[np.ndarray]:
 </s> add                        side: T.Literal["a", "b"],
                       samples: list[np.ndarray],
                       predictions: list[np.ndarray]) -> list[np.ndarray]: </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: </s> remove     def _scale_image(image: np.ndarray, image_size: Tuple[int, int], scale: float) -> np.ndarray:
 </s> add     def _scale_image(image: np.ndarray, image_size: tuple[int, int], scale: float) -> np.ndarray:
                    method: T.Literal["single", "centroid", "median", "ward"]) -> np.ndarray:
          return retval
  
      def _do_linkage(self,
                      predictions: np.ndarray,
                    method: T.Literal["single", "centroid", "median", "ward"]) -> np.ndarray:
          """ Use FastCluster to perform vector or standard linkage
  
          Parameters
          ----------
          predictions: :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 
plugins/extract/recognition/vgg_face2.py