      def model(self) -> tf.keras.models.Model:
          """ :class:`keras.models.Model`: The Faceswap model, compiled for inference. """
          return self._model
  
      def _get_nodes(self, nodes: np.ndarray) -> T.List[T.Tuple[str, int]]:
          """ Given in input list of nodes from a :attr:`keras.models.Model.get_config` dictionary,
          filters the layer name(s) and output index of the node, splitting to the correct output
          index in the event of multiple inputs.
  
          Parameters
 
</s> remove     def _get_io_sizes(self) -> T.Dict[str, int]:
 </s> add     def _get_io_sizes(self) -> dict[str, int]: </s> remove     def predicted_images(self) -> List[Tuple[ConvertItem, np.ndarray]]:
 </s> add     def predicted_images(self) -> list[tuple[ConvertItem, np.ndarray]]: </s> remove     def output_shapes(self) -> T.List[T.Tuple[None, int, int, int]]:
 </s> add     def output_shapes(self) -> list[tuple[None, int, int, int]]: </s> remove     def _get_outputs(cls, model_config: Dict[str, Any]) -> np.ndarray:
 </s> add     def _get_outputs(cls, model_config: dict[str, T.Any]) -> np.ndarray: </s> remove     def get_image_copy(self, color_format: Literal["BGR", "RGB", "GRAY"]) -> "np.ndarray":
 </s> add     def get_image_copy(self, color_format: T.Literal["BGR", "RGB", "GRAY"]) -> np.ndarray:
    def _get_nodes(self, nodes: np.ndarray) -> list[tuple[str, int]]:
      def model(self) -> tf.keras.models.Model:
          """ :class:`keras.models.Model`: The Faceswap model, compiled for inference. """
          return self._model
  
    def _get_nodes(self, nodes: np.ndarray) -> list[tuple[str, int]]:
          """ Given in input list of nodes from a :attr:`keras.models.Model.get_config` dictionary,
          filters the layer name(s) and output index of the node, splitting to the correct output
          index in the event of multiple inputs.
  
          Parameters
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 
plugins/train/model/_base/model.py