              the keys being `input_a`, `input_b`, `output`
          """
          logger.debug("Ouputting time-lapse")
          if not self._output_file:
              self._setup(**T.cast(T.Dict[str, str], timelapse_kwargs))
  
          logger.debug("Getting time-lapse samples")
          self._samples.images = self._feeder.generate_preview(is_timelapse=True)
          logger.debug("Got time-lapse samples: %s",
                       {side: len(images) for side, images in self._samples.images.items()})
 
</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                            images: T.Dict[Literal["a", "b"], T.List[str]],
 </s> add                            images: dict[T.Literal["a", "b"], list[str]], </s> remove             side = cast(Literal["a", "b"], side)
 </s> add             side = T.cast(T.Literal["a", "b"], side) </s> remove         iterator = T.cast(T.Dict[Literal["a", "b"], T.Generator[BatchType, None, None]],
 </s> add         iterator = T.cast(dict[T.Literal["a", "b"], "Generator[BatchType, None, None]"], </s> remove         retval: T.Dict[Literal["a", "b"], T.List[np.ndarray]] = {}
        for side in get_args(Literal["a", "b"]):
 </s> add         retval: dict[T.Literal["a", "b"], list[np.ndarray]] = {}
        for side in T.get_args(T.Literal["a", "b"]):
            self._setup(**T.cast(dict[str, str], timelapse_kwargs))
              the keys being `input_a`, `input_b`, `output`
          """
          logger.debug("Ouputting time-lapse")
          if not self._output_file:
            self._setup(**T.cast(dict[str, str], timelapse_kwargs))
  
          logger.debug("Getting time-lapse samples")
          self._samples.images = self._feeder.generate_preview(is_timelapse=True)
          logger.debug("Got time-lapse samples: %s",
                       {side: len(images) for side, images in self._samples.images.items()})
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/trainer/_base.py