          The extractor pipeline for obtaining face identity from images
      """
      def __init__(self,
                   threshold: float,
                   filter_files: Optional[List[str]],
                   nfilter_files: Optional[List[str]],
                   extractor: Extractor) -> None:
          logger.debug("Initializing %s: (threshold: %s, filter_files: %s, nfilter_files: %s "
                       "extractor: %s)", self.__class__.__name__, threshold, filter_files,
                       nfilter_files, extractor)
          self._threshold = threshold
 
</s> remove                          filter_files: Optional[List[str]],
                         nfilter_files: Optional[List[str]]) -> Tuple[List[str], List[str]]:
 </s> add                          filter_files: list[str] | None,
                         nfilter_files: list[str] | None) -> tuple[list[str], list[str]]: </s> remove                  aligned_filenames: Optional[List[str]] = None) -> None:
 </s> add                  aligned_filenames: list[str] | None = None) -> None: </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                  threshold: T.Optional[T.List[float]] = None,
 </s> add                  threshold: list[float] | None = None, </s> remove                  path: Union[str, List[str]],
 </s> add                  path: str | list[str],
                 filter_files: list[str] | None,
                 nfilter_files: list[str] | None,
          The extractor pipeline for obtaining face identity from images
      """
      def __init__(self,
                   threshold: float,
                 filter_files: list[str] | None,
                 nfilter_files: list[str] | None,
                 filter_files: list[str] | None,
                 nfilter_files: list[str] | None,
                   extractor: Extractor) -> None:
          logger.debug("Initializing %s: (threshold: %s, filter_files: %s, nfilter_files: %s "
                       "extractor: %s)", self.__class__.__name__, threshold, filter_files,
                       nfilter_files, extractor)
          self._threshold = threshold
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 
scripts/extract.py