                       policy.compute_dtype, policy.variable_dtype)
          return True
  
      def _get_strategy(self,
                        strategy: Literal["default", "central-storage", "mirrored"]
                        ) -> T.Optional[tf.distribute.Strategy]:
          """ If we are running on Nvidia backend and the strategy is not ``None`` then return
          the correct tensorflow distribution strategy, otherwise return ``None``.
  
          Notes
          -----
 
</s> remove     def strategy_scope(self) -> T.ContextManager:
 </s> add     def strategy_scope(self) -> ContextManager: </s> remove     def _set_phases(self, multiprocess: bool) -> List[List[str]]:
 </s> add     def _set_phases(self, multiprocess: bool) -> list[list[str]]: </s> remove     def _get_detected_faces(self, filename: str, image: np.ndarray) -> T.List[DetectedFace]:
 </s> add     def _get_detected_faces(self, filename: str, image: np.ndarray) -> list[DetectedFace]: </s> remove     def _get_locations(self) -> Dict[str, List[Optional[str]]]:
 </s> add     def _get_locations(self) -> dict[str, list[str | None]]: </s> remove     def face(self) -> Optional[np.ndarray]:
 </s> add     def face(self) -> np.ndarray | None:
                      strategy: T.Literal["default", "central-storage", "mirrored"]
                      ) -> tf.distribute.Strategy | None:
                       policy.compute_dtype, policy.variable_dtype)
          return True
  
      def _get_strategy(self,
                      strategy: T.Literal["default", "central-storage", "mirrored"]
                      ) -> tf.distribute.Strategy | None:
                      strategy: T.Literal["default", "central-storage", "mirrored"]
                      ) -> tf.distribute.Strategy | None:
          """ If we are running on Nvidia backend and the strategy is not ``None`` then return
          the correct tensorflow distribution strategy, otherwise return ``None``.
  
          Notes
          -----
keep keep keep keep replace 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/settings.py