              detected_face = item.inbound.detected_faces[0]
              src_img = item.inbound.image
              detected_face.load_aligned(src_img,
                                         size=self._size,
                                         centering=cast(CenteringType, self._centering))
              matrix = detected_face.aligned.matrix
              self._faces.filenames.append(os.path.splitext(item.inbound.filename)[0])
              self._faces.matrix.append(matrix)
              self._faces.src.append(transform_image(src_img, matrix, self._size, self._padding))
          self.update_source = False
 
</s> remove         self._tk_image: Optional[ImageTk.PhotoImage] = None
 </s> add         self._tk_image: ImageTk.PhotoImage | None = None </s> remove         self.source: List[ConvertItem] = []  # Source images, filenames + detected faces
 </s> add         self.source: list[ConvertItem] = []  # Source images, filenames + detected faces </s> remove         self.destination: List[np.ndarray] = []  # Swapped + patched images
 </s> add         self.destination: list[np.ndarray] = []  # Swapped + patched images </s> remove         assert self._config["centering"] in get_args(CenteringType)
 </s> add         assert self._config["centering"] in T.get_args(CenteringType) </s> remove         self._filter: T.Optional[np.ndarray] = None
        self._nfilter: T.Optional[np.ndarray] = None
 </s> add         self._filter: np.ndarray | None = None
        self._nfilter: np.ndarray | None = None
                                       centering=T.cast(CenteringType, self._centering))
              detected_face = item.inbound.detected_faces[0]
              src_img = item.inbound.image
              detected_face.load_aligned(src_img,
                                         size=self._size,
                                       centering=T.cast(CenteringType, self._centering))
              matrix = detected_face.aligned.matrix
              self._faces.filenames.append(os.path.splitext(item.inbound.filename)[0])
              self._faces.matrix.append(matrix)
              self._faces.src.append(transform_image(src_img, matrix, self._size, self._padding))
          self.update_source = False
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/preview/viewer.py