          return self.compile_sample(min(batchsizes), feed, samples, masks)
  
      def compile_sample(self,
                         image_count: int,
                         feed: T.Dict[Literal["a", "b"], np.ndarray],
                         samples: T.Dict[Literal["a", "b"], np.ndarray],
                         masks: T.Dict[Literal["a", "b"], np.ndarray]
                         ) -> T.Dict[Literal["a", "b"], T.List[np.ndarray]]:
          """ Compile the preview samples for display.
  
          Parameters
          ----------
          image_count: int
 
</s> remove         batchsizes: T.List[int] = []
        feed: T.Dict[Literal["a", "b"], np.ndarray] = {}
        samples: T.Dict[Literal["a", "b"], np.ndarray] = {}
        masks: T.Dict[Literal["a", "b"], np.ndarray] = {}
 </s> add         batchsizes: list[int] = []
        feed: dict[T.Literal["a", "b"], np.ndarray] = {}
        samples: dict[T.Literal["a", "b"], np.ndarray] = {}
        masks: dict[T.Literal["a", "b"], np.ndarray] = {} </s> remove                            headers: T.Dict[Literal["a", "b"], np.ndarray],
                           columns: int) -> T.Dict[Literal["a", "b"], np.ndarray]:
 </s> add                            headers: dict[T.Literal["a", "b"], np.ndarray],
                           columns: int) -> dict[T.Literal["a", "b"], np.ndarray]: </s> remove                          ) -> T.Dict[Literal["a", "b"], T.List[np.ndarray]]:
 </s> add                          ) -> dict[T.Literal["a", "b"], list[np.ndarray]]: </s> remove         figures: T.Dict[Literal["a", "b"], np.ndarray] = {}
        headers: T.Dict[Literal["a", "b"], np.ndarray] = {}
 </s> add         figures: dict[T.Literal["a", "b"], np.ndarray] = {}
        headers: dict[T.Literal["a", "b"], np.ndarray] = {} </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]"],
                       feed: dict[T.Literal["a", "b"], np.ndarray],
                       samples: dict[T.Literal["a", "b"], np.ndarray],
                       masks: dict[T.Literal["a", "b"], np.ndarray]
                       ) -> dict[T.Literal["a", "b"], list[np.ndarray]]:
          return self.compile_sample(min(batchsizes), feed, samples, masks)
  
      def compile_sample(self,
                         image_count: int,
                       feed: dict[T.Literal["a", "b"], np.ndarray],
                       samples: dict[T.Literal["a", "b"], np.ndarray],
                       masks: dict[T.Literal["a", "b"], np.ndarray]
                       ) -> dict[T.Literal["a", "b"], list[np.ndarray]]:
                       feed: dict[T.Literal["a", "b"], np.ndarray],
                       samples: dict[T.Literal["a", "b"], np.ndarray],
                       masks: dict[T.Literal["a", "b"], np.ndarray]
                       ) -> dict[T.Literal["a", "b"], list[np.ndarray]]:
                       feed: dict[T.Literal["a", "b"], np.ndarray],
                       samples: dict[T.Literal["a", "b"], np.ndarray],
                       masks: dict[T.Literal["a", "b"], np.ndarray]
                       ) -> dict[T.Literal["a", "b"], list[np.ndarray]]:
                       feed: dict[T.Literal["a", "b"], np.ndarray],
                       samples: dict[T.Literal["a", "b"], np.ndarray],
                       masks: dict[T.Literal["a", "b"], np.ndarray]
                       ) -> dict[T.Literal["a", "b"], list[np.ndarray]]:
          """ Compile the preview samples for display.
  
          Parameters
          ----------
          image_count: int
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