                                          max_scale > 0.0 or
                                          min_scale > 0.0 or
                                          distance > 0.0 or
                                          roll > 0.0)
          self._counts: Dict[str, int] = dict(features=0,
                                              min_scale=0,
                                              max_scale=0,
                                              distance=0,
                                              roll=0)
          logger.debug("Initialized %s: ", self.__class__.__name__)
  
      def _scale_test(self,
                      face: AlignedFace,
                      minimum_dimension: int) -> Optional[Literal["min", "max"]]:
 
</s> remove                     minimum_dimension: int) -> Optional[Literal["min", "max"]]:
 </s> add                     minimum_dimension: int) -> T.Literal["min", "max"] | None: </s> remove         self._updatable_keys: List[Literal["identity", "mask"]] = ["identity", "mask"]
        self._counts: Dict[str, int] = {}
 </s> add         self._updatable_keys: list[T.Literal["identity", "mask"]] = ["identity", "mask"]
        self._counts: dict[str, int] = {} </s> remove                           alignment: "PNGHeaderAlignmentsDict",
                          face: "AlignmentFileDict") -> None:
 </s> add                           alignment: PNGHeaderAlignmentsDict,
                          face: AlignmentFileDict) -> None: </s> remove                  if cast(int, self._config[f"{area}_multiplier"]) > 1]
 </s> add                  if T.cast(int, self._config[f"{area}_multiplier"]) > 1] </s> remove         self._bins: Dict[int, int] = {}
 </s> add         self._bins: dict[int, int] = {}
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
                                          max_scale > 0.0 or
                                          min_scale > 0.0 or
                                          distance > 0.0 or
                                          roll > 0.0)
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
        self._counts: dict[str, int] = {"features": 0,
                                        "min_scale": 0,
                                        "max_scale": 0,
                                        "distance": 0,
                                        "roll": 0}
          logger.debug("Initialized %s: ", self.__class__.__name__)
  
      def _scale_test(self,
                      face: AlignedFace,
                      minimum_dimension: int) -> Optional[Literal["min", "max"]]:
keep keep keep keep replace replace replace 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/align/_base/processing.py