      """
  
      def __init__(self,
                   filename: str,
                   image: "np.ndarray",
                   detected_faces: Optional[List["DetectedFace"]] = None,
                   is_aligned: bool = False) -> None:
          logger.trace("Initializing %s: (filename: '%s', image shape: %s, "  # type: ignore
                       "detected_faces: %s, is_aligned: %s)", self.__class__.__name__, filename,
                       image.shape, detected_faces, is_aligned)
          self._filename = filename
 
</s> remove         self._image: Optional["np.ndarray"] = image
        self._image_shape = cast(Tuple[int, int, int], image.shape)
        self._detected_faces: List["DetectedFace"] = ([] if detected_faces is None
                                                      else detected_faces)
 </s> add         self._image: np.ndarray | None = image
        self._image_shape = T.cast(tuple[int, int, int], image.shape)
        self._detected_faces: list[DetectedFace] = ([] if detected_faces is None
                                                    else detected_faces) </s> remove                  model_kwargs: Optional[dict] = None,
 </s> add                  model_kwargs: dict | None = None, </s> remove                  exclude_gpus: Optional[List[int]] = None,
 </s> add                  exclude_gpus: list[int] | None = None, </s> remove                    image: "np.ndarray",
                   metadata: Optional["PNGHeaderDict"] = None) -> None:
 </s> add                    image: np.ndarray,
                   metadata: PNGHeaderDict | None = None) -> None: </s> remove                  configfile: Optional[str] = None,
                 config: Optional[FaceswapConfig] = None) -> None:
 </s> add                  configfile: str | None = None,
                 config: FaceswapConfig | None = None) -> None:
                 image: np.ndarray,
                 detected_faces: list[DetectedFace] | None = None,
      """
  
      def __init__(self,
                   filename: str,
                 image: np.ndarray,
                 detected_faces: list[DetectedFace] | None = None,
                 image: np.ndarray,
                 detected_faces: list[DetectedFace] | None = None,
                   is_aligned: bool = False) -> None:
          logger.trace("Initializing %s: (filename: '%s', image shape: %s, "  # type: ignore
                       "detected_faces: %s, is_aligned: %s)", self.__class__.__name__, filename,
                       image.shape, detected_faces, is_aligned)
          self._filename = filename
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/pipeline.py