  
          timelapse_output = get_folder(self._args.timelapse_output)
  
          for side in ("a", "b"):
              side = cast(Literal["a", "b"], side)
              folder = getattr(self._args, f"timelapse_input_{side}")
              if folder is not None and not os.path.isdir(folder):
                  raise FaceswapError(f"The Timelapse path '{folder}' does not exist")
  
              training_folder = getattr(self._args, f"input_{side}")
 
</s> remove             side = cast(Literal["a", "b"], side)
 </s> add             side = T.cast(T.Literal["a", "b"], side) </s> remove         TKey = Literal["input_a", "input_b", "output"]
        kwargs = {cast(TKey, "input_a"): self._args.timelapse_input_a,
                  cast(TKey, "input_b"): self._args.timelapse_input_b,
                  cast(TKey, "output"): timelapse_output}
 </s> add         TKey = T.Literal["input_a", "input_b", "output"]
        kwargs = {T.cast(TKey, "input_a"): self._args.timelapse_input_a,
                  T.cast(TKey, "input_b"): self._args.timelapse_input_b,
                  T.cast(TKey, "output"): timelapse_output} </s> remove         model_inputs: T.List[T.List[np.ndarray]] = []
        model_targets: T.List[T.List[np.ndarray]] = []
 </s> add         model_inputs: list[list[np.ndarray]] = []
        model_targets: list[list[np.ndarray]] = [] </s> remove         for side in get_args(Literal["a", "b"]):
 </s> add         for side in T.get_args(T.Literal["a", "b"]): </s> remove         retval: T.Dict[Literal["a", "b"], T.Generator[BatchType, None, None]] = {}
 </s> add         retval: dict[T.Literal["a", "b"], Generator[BatchType, None, None]] = {}
            side = T.cast(T.Literal["a", "b"], side)
  
          timelapse_output = get_folder(self._args.timelapse_output)
  
          for side in ("a", "b"):
            side = T.cast(T.Literal["a", "b"], side)
              folder = getattr(self._args, f"timelapse_input_{side}")
              if folder is not None and not os.path.isdir(folder):
                  raise FaceswapError(f"The Timelapse path '{folder}' does not exist")
  
              training_folder = getattr(self._args, f"input_{side}")
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/train.py