          """ Toggle the mask overlay on or off based on user input. """
          self._samples.toggle_mask_display()
  
      def train_one_step(self,
                         viewer: T.Optional[T.Callable[[np.ndarray, str], None]],
                         timelapse_kwargs: T.Optional[T.Dict[Literal["input_a",
                                                                     "input_b",
                                                                     "output"], str]]) -> None:
          """ Running training on a batch of images for each side.
  
          Triggered from the training cycle in :class:`scripts.train.Train`.
  
          * Runs a training batch through the model.
 
</s> remove                         viewer: T.Optional[T.Callable[[np.ndarray, str], None]],
                        timelapse_kwargs: T.Optional[T.Dict[Literal["input_a",
                                                                    "input_b",
                                                                    "output"], str]]) -> None:
 </s> add                         viewer: Callable[[np.ndarray, str], None] | None,
                        timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                               str] | None) -> None: </s> remove                           detected_faces: List[DetectedFace],
 </s> add                           detected_faces: list[DetectedFace], </s> remove     def _run_training_cycle(self, model: "ModelBase", trainer: "TrainerBase") -> None:
 </s> add     def _run_training_cycle(self, model: ModelBase, trainer: TrainerBase) -> None: </s> remove                           filenames: List[str],
 </s> add                           filenames: list[str], </s> remove 
 </s> add from __future__ import annotations
                       viewer: Callable[[np.ndarray, str], None] | None,
                       timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                              str] | None) -> None:
          """ Toggle the mask overlay on or off based on user input. """
          self._samples.toggle_mask_display()
  
      def train_one_step(self,
                       viewer: Callable[[np.ndarray, str], None] | None,
                       timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                              str] | None) -> None:
                       viewer: Callable[[np.ndarray, str], None] | None,
                       timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                              str] | None) -> None:
                       viewer: Callable[[np.ndarray, str], None] | None,
                       timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                              str] | None) -> None:
                       viewer: Callable[[np.ndarray, str], None] | None,
                       timelapse_kwargs: dict[T.Literal["input_a", "input_b", "output"],
                                              str] | None) -> None:
          """ Running training on a batch of images for each side.
  
          Triggered from the training cycle in :class:`scripts.train.Train`.
  
          * Runs a training batch through the model.
keep keep keep keep replace replace 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/trainer/_base.py