              have the current filename as key, with the header source data as value. If frames
              the dictionaries will contain the keys 'frame_fullname', 'frame_name', 'extension'.
          """
          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:
 
</s> remove         return cast(Union[List[Dict[str, str]], List[Tuple[str, "PNGHeaderDict"]]],
                    items.file_list_sorted)
 </s> add         return T.cast(list[dict[str, str]] | list[tuple[str, "PNGHeaderDict"]],
                      items.file_list_sorted) </s> remove     def source(self) -> "np.ndarray":
 </s> add     def source(self) -> np.ndarray: </s> remove         for item in tqdm(cast(List[Dict[str, str]], self._items),
 </s> add         for item in tqdm(T.cast(list[dict[str, str]], self._items), </s> remove     def aligned_landmarks(self) -> Dict[str, np.ndarray]:
 </s> add     def aligned_landmarks(self) -> dict[str, np.ndarray]: </s> remove     def _set_folder_filename(self, input_is_video: bool) -> Tuple[str, str]:
 </s> add     def _set_folder_filename(self, input_is_video: bool) -> tuple[str, str]:
        items: Frames | Faces = globals()[self._type.title()](self._source_dir)
              have the current filename as key, with the header source data as value. If frames
              the dictionaries will contain the keys 'frame_fullname', 'frame_name', 'extension'.
          """
          assert self._type is not None
        items: 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:
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/alignments/jobs.py