      """
  
      def __init__(self,
                   predictions: np.ndarray,
                   method: Literal["single", "centroid", "median", "ward"],
                   threshold: Optional[float] = None) -> None:
          logger.debug("Initializing: %s (predictions: %s, method: %s, threshold: %s)",
                       self.__class__.__name__, predictions.shape, method, threshold)
          self._num_predictions = predictions.shape[0]
  
          self._should_output_bins = threshold is not None
 
</s> remove                     method: Literal["single", "centroid", "median", "ward"]) -> np.ndarray:
 </s> add                     method: T.Literal["single", "centroid", "median", "ward"]) -> np.ndarray: </s> remove                  threshold: T.Optional[T.List[float]] = None,
 </s> add                  threshold: list[float] | None = None, </s> remove         self._bins: Dict[int, int] = {}
 </s> add         self._bins: dict[int, int] = {} </s> remove         method: str = "iom") -> T.Tuple[np.ndarray, np.ndarray]:
 </s> add         method: str = "iom") -> tuple[np.ndarray, np.ndarray]: </s> remove                  filter_files: Optional[List[str]],
                 nfilter_files: Optional[List[str]],
 </s> add                  filter_files: list[str] | None,
                 nfilter_files: list[str] | None,
                 method: T.Literal["single", "centroid", "median", "ward"],
                 threshold: float | None = None) -> None:
      """
  
      def __init__(self,
                   predictions: np.ndarray,
                 method: T.Literal["single", "centroid", "median", "ward"],
                 threshold: float | None = None) -> None:
                 method: T.Literal["single", "centroid", "median", "ward"],
                 threshold: float | None = None) -> None:
          logger.debug("Initializing: %s (predictions: %s, method: %s, threshold: %s)",
                       self.__class__.__name__, predictions.shape, method, threshold)
          self._num_predictions = predictions.shape[0]
  
          self._should_output_bins = threshold is not None
keep keep keep keep 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 
plugins/extract/recognition/vgg_face2.py