          self._num_predictions = predictions.shape[0]
  
          self._should_output_bins = threshold is not None
          self._threshold = 0.0 if threshold is None else threshold
          self._bins: Dict[int, int] = {}
          self._iterator = self._integer_iterator()
  
          self._result_linkage = self._do_linkage(predictions, method)
          logger.debug("Initialized %s", self.__class__.__name__)
  
 
</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         self._threshold: Optional[float] = 0.25 if threshold < 0 else threshold
 </s> add         self._threshold: float | None = 0.25 if threshold < 0 else threshold </s> remove         bins: List[List[str]] = []
 </s> add         bins: list[list[str]] = [] </s> remove         self._sub_crop_slices: Dict[Literal["in", "out"], List[slice]] = {}
 </s> add         self._sub_crop_slices: dict[T.Literal["in", "out"], list[slice]] = {} </s> remove         reference_groups[0] = [cast(np.ndarray, self._result[0][1])]
 </s> add         reference_groups[0] = [T.cast(np.ndarray, self._result[0][1])]
        self._bins: dict[int, int] = {}
          self._num_predictions = predictions.shape[0]
  
          self._should_output_bins = threshold is not None
          self._threshold = 0.0 if threshold is None else threshold
        self._bins: dict[int, int] = {}
          self._iterator = self._integer_iterator()
  
          self._result_linkage = self._do_linkage(predictions, method)
          logger.debug("Initialized %s", self.__class__.__name__)
  
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