              logger.warning("At least one of your input folders contains fewer than 250 images. "
                             "Results are likely to be poor.")
              logger.warning(msg)
  
      def _set_timelapse(self) -> Dict[Literal["input_a", "input_b", "output"], str]:
          """ Set time-lapse paths if requested.
  
          Returns
          -------
          dict
 
</s> remove     def output_timelapse(self, timelapse_kwargs: T.Dict[Literal["input_a",
 </s> add     def output_timelapse(self, timelapse_kwargs: dict[T.Literal["input_a", </s> remove     def _get_images(self) -> Dict[Literal["a", "b"], List[str]]:
 </s> add     def _get_images(self) -> dict[T.Literal["a", "b"], list[str]]: </s> remove     def _get_weights_model(self) -> T.List[keras.models.Model]:
 </s> add     def _get_weights_model(self) -> list[keras.models.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     def _get_io_sizes(self) -> T.Dict[str, int]:
 </s> add     def _get_io_sizes(self) -> dict[str, int]:
    def _set_timelapse(self) -> dict[T.Literal["input_a", "input_b", "output"], str]:
              logger.warning("At least one of your input folders contains fewer than 250 images. "
                             "Results are likely to be poor.")
              logger.warning(msg)
  
    def _set_timelapse(self) -> dict[T.Literal["input_a", "input_b", "output"], str]:
          """ Set time-lapse paths if requested.
  
          Returns
          -------
          dict
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