  
      def process(self) -> None:
          """ Process the face renaming """
          logger.info("[RENAME FACES]")  # Tidy up cli output
          filelist = cast(List[Tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted)
          rename_mappings = sorted([(face[0], face[1]["source"]["original_filename"])
                                    for face in filelist
                                    if face[0] != face[1]["source"]["original_filename"]],
                                   key=lambda x: x[1])
          rename_count = self._rename_faces(rename_mappings)
 
</s> remove         filelist = cast(List[Tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted)
 </s> add         filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted) </s> remove         all_versions: Dict[str, List[float]] = {}
        d_align: Dict[str, Dict[str, List[Tuple[int, "AlignmentFileDict", str, dict]]]] = {}
        filelist = cast(List[Tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted)
 </s> add         all_versions: dict[str, list[float]] = {}
        d_align: dict[str, dict[str, list[tuple[int, AlignmentFileDict, str, dict]]]] = {}
        filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted) </s> remove             filelist = cast(List[Tuple[str, "PNGHeaderDict"]], self._items)
 </s> add             filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._items) </s> remove         self._mappings: Dict[int, str] = {}
        self._normalized: Dict[str, np.ndarray] = {}
        self._shapes_model: Optional[decomposition.PCA] = None
 </s> add         self._mappings: dict[int, str] = {}
        self._normalized: dict[str, np.ndarray] = {}
        self._shapes_model: decomposition.PCA | None = None </s> remove                 for x in cast(List[Tuple[str, "PNGHeaderDict"]], self._items.file_list_sorted)]
 </s> add                 for x in T.cast(list[tuple[str, "PNGHeaderDict"]], self._items.file_list_sorted)]
        filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted)
  
      def process(self) -> None:
          """ Process the face renaming """
          logger.info("[RENAME FACES]")  # Tidy up cli output
        filelist = T.cast(list[tuple[str, "PNGHeaderDict"]], self._faces.file_list_sorted)
          rename_mappings = sorted([(face[0], face[1]["source"]["original_filename"])
                                    for face in filelist
                                    if face[0] != face[1]["source"]["original_filename"]],
                                   key=lambda x: x[1])
          rename_count = self._rename_faces(rename_mappings)
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_faces.py