                                     centering=mask.stored_centering,
                                     size=detected_face.image.shape[0],
                                     is_aligned=True).face
              else:
                  centering: "CenteringType" = ("legacy" if self._alignments is not None and
                                                self._alignments.version == 1.0
                                                else mask.stored_centering)
                  detected_face.load_aligned(detected_face.image, centering=centering, force=True)
                  face = detected_face.aligned.face
              assert face is not None
              imask = cv2.resize(detected_face.mask[mask_type].mask,
                                 (face.shape[1], face.shape[0]),
 
</s> remove         seen: Dict[str, List[int]] = {}
 </s> add         seen: dict[str, list[int]] = {} </s> remove         centering: "CenteringType" = "legacy"
 </s> add         centering: CenteringType = "legacy" </s> remove         self._mask_pipeline: Optional[Extractor] = None
 </s> add         self._mask_pipeline: Extractor | None = None </s> remove         kwargs: Dict[str, Union[None, tk.Frame, str,
                                List[Tuple[str, str]]]] = dict(master=self._dummy_master)
 </s> add         kwargs: dict[str, None | tk.Frame | str | list[tuple[str, str]]] = {
            "master": self._dummy_master} </s> remove             queue = cast("EventQueue", args[0])
 </s> add             queue = T.cast("EventQueue", args[0])
                centering: CenteringType = ("legacy" if self._alignments is not None and
                                            self._alignments.version == 1.0
                                            else mask.stored_centering)
                                     centering=mask.stored_centering,
                                     size=detected_face.image.shape[0],
                                     is_aligned=True).face
              else:
                centering: CenteringType = ("legacy" if self._alignments is not None and
                                            self._alignments.version == 1.0
                                            else mask.stored_centering)
                centering: CenteringType = ("legacy" if self._alignments is not None and
                                            self._alignments.version == 1.0
                                            else mask.stored_centering)
                centering: CenteringType = ("legacy" if self._alignments is not None and
                                            self._alignments.version == 1.0
                                            else mask.stored_centering)
                  detected_face.load_aligned(detected_face.image, centering=centering, force=True)
                  face = detected_face.aligned.face
              assert face is not None
              imask = cv2.resize(detected_face.mask[mask_type].mask,
                                 (face.shape[1], face.shape[0]),
keep keep keep keep 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 
tools/mask/mask.py