  
          self._pnet_scales = self._calculate_scales(min_size, factor)
          self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                              for scale in self._pnet_scales]
          self._pnet_input: T.Optional[T.List[np.ndarray]] = None
  
      @staticmethod
      def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
 
</s> remove     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition() -> tuple[list[Tensor], list[Tensor]]: </s> remove     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition() -> tuple[list[Tensor], list[Tensor]]: </s> remove     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition() -> tuple[list[Tensor], list[Tensor]]: </s> remove     def model_definition(self) -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition(self) -> tuple[list[Tensor], list[Tensor]]: </s> remove     def _generate_weights(cls, channel: Dict[str, float], domain: np.ndarray) -> tf.Tensor:
 </s> add     def _generate_weights(cls, channel: dict[str, float], domain: np.ndarray) -> tf.Tensor:
        self._pnet_input: list[np.ndarray] | None = None
  
          self._pnet_scales = self._calculate_scales(min_size, factor)
          self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                              for scale in self._pnet_scales]
        self._pnet_input: list[np.ndarray] | None = None
  
      @staticmethod
      def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
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/extract/detect/mtcnn.py