          configfile = self._args.configfile if hasattr(self._args, "configfile") else None
          return PluginLoader.get_converter("writer", self._args.writer)(*args,
                                                                         configfile=configfile)
  
      def _get_frame_ranges(self) -> T.Optional[T.List[T.Tuple[int, int]]]:
          """ Obtain the frame ranges that are to be converted.
  
          If frame ranges have been specified, then split the command line formatted arguments into
          ranges that can be used.
  
 
</s> remove         retval: Optional[str] = "copy"
 </s> add         retval: str | None = "copy" </s> remove                               detected_face: "DetectedFace",
                              reference_face: "AlignedFace",
                              predicted_mask: Optional[np.ndarray]) -> np.ndarray:
 </s> add                               detected_face: DetectedFace,
                              reference_face: AlignedFace,
                              predicted_mask: np.ndarray | None) -> np.ndarray: </s> remove     def __init__(self, alignments: "AlignmentData", arguments: Namespace) -> None:
 </s> add     def __init__(self, alignments: AlignmentData, arguments: Namespace) -> None: </s> remove     def __init__(self, alignments: "AlignmentData", arguments: "Namespace") -> None:
 </s> add     def __init__(self, alignments: AlignmentData, arguments: Namespace) -> None: </s> remove     def __init__(self, alignments: "AlignmentData", arguments: "Namespace") -> None:
 </s> add     def __init__(self, alignments: AlignmentData, arguments: Namespace) -> None:
    def _get_frame_ranges(self) -> list[tuple[int, int]] | None:
          configfile = self._args.configfile if hasattr(self._args, "configfile") else None
          return PluginLoader.get_converter("writer", self._args.writer)(*args,
                                                                         configfile=configfile)
  
    def _get_frame_ranges(self) -> list[tuple[int, int]] | None:
          """ Obtain the frame ranges that are to be converted.
  
          If frame ranges have been specified, then split the command line formatted arguments into
          ranges that can be used.
  
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 
scripts/convert.py