      is_group: bool, optional
          Set to ``True`` if this class is going to be called exclusively for binning.
          Default: ``False``
      """
      def __init__(self, arguments: "Namespace", is_group: bool = False) -> None:
          super().__init__(arguments, is_group=is_group)
          self._is_dissim = self._method == "face-cnn-dissim"
          self._threshold: float = 7.2 if arguments.threshold < 1.0 else arguments.threshold
  
      def _get_metric(self, aligned_face: AlignedFace) -> np.ndarray:
 
</s> remove     def __init__(self, arguments: "Namespace", is_group: bool = False) -> None:
 </s> add     def __init__(self, arguments: Namespace, is_group: bool = False) -> None: </s> remove     def __init__(self, arguments: "Namespace", is_group: bool = False) -> None:
 </s> add     def __init__(self, arguments: Namespace, is_group: bool = False) -> None: </s> remove     def __init__(self, arguments: "Namespace", is_group: bool = False) -> None:
 </s> add     def __init__(self, arguments: Namespace, is_group: bool = False) -> None: </s> remove     def __init__(self, arguments: "Namespace", is_group: bool = False) -> None:
 </s> add     def __init__(self, arguments: Namespace, is_group: bool = False) -> None: </s> remove     def _get_metric(self, aligned_face: AlignedFace) -> Union[np.ndarray, float]:
 </s> add     def _get_metric(self, aligned_face: AlignedFace) -> np.ndarray | float:
    def __init__(self, arguments: Namespace, is_group: bool = False) -> None:
      is_group: bool, optional
          Set to ``True`` if this class is going to be called exclusively for binning.
          Default: ``False``
      """
    def __init__(self, arguments: Namespace, is_group: bool = False) -> None:
          super().__init__(arguments, is_group=is_group)
          self._is_dissim = self._method == "face-cnn-dissim"
          self._threshold: float = 7.2 if arguments.threshold < 1.0 else arguments.threshold
  
      def _get_metric(self, aligned_face: AlignedFace) -> np.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 
tools/sort/sort_methods_aligned.py