          """
          assert self._type is not None
          items: Union[Frames, Faces] = globals()[self._type.title()](self._source_dir)
          self._is_video = items.is_video
          return cast(Union[List[Dict[str, str]], List[Tuple[str, "PNGHeaderDict"]]],
                      items.file_list_sorted)
  
      def process(self) -> None:
          """ Process the frames check against the alignments file """
          assert self._type is not None
          logger.info("[CHECK %s]", self._type.upper())
 
</s> remove         items: Union[Frames, Faces] = globals()[self._type.title()](self._source_dir)
 </s> add         items: Frames | Faces = globals()[self._type.title()](self._source_dir) </s> remove     def recognition(self) -> "Identity":
 </s> add     def recognition(self) -> Identity: </s> remove             filelist = cast(List[Tuple[str, "PNGHeaderDict"]], self._items)
 </s> add             filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._items) </s> remove     def source(self) -> "np.ndarray":
 </s> add     def source(self) -> np.ndarray: </s> remove     def modified_vars(self) -> Dict[str, "tk.BooleanVar"]:
 </s> add     def modified_vars(self) -> dict[str, tk.BooleanVar]:
        return T.cast(list[dict[str, str]] | list[tuple[str, "PNGHeaderDict"]],
                      items.file_list_sorted)
          """
          assert self._type is not None
          items: Union[Frames, Faces] = globals()[self._type.title()](self._source_dir)
          self._is_video = items.is_video
        return T.cast(list[dict[str, str]] | list[tuple[str, "PNGHeaderDict"]],
                      items.file_list_sorted)
        return T.cast(list[dict[str, str]] | list[tuple[str, "PNGHeaderDict"]],
                      items.file_list_sorted)
  
      def process(self) -> None:
          """ Process the frames check against the alignments file """
          assert self._type is not None
          logger.info("[CHECK %s]", self._type.upper())
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 
tools/alignments/jobs.py