          return header_box
  
      @classmethod
      def _duplicate_headers(cls,
                             headers: T.Dict[Literal["a", "b"], np.ndarray],
                             columns: int) -> T.Dict[Literal["a", "b"], np.ndarray]:
          """ Duplicate headers for the number of columns displayed for each side.
  
          Parameters
          ----------
          headers: dict
 
</s> remove                        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]]:
 </s> add                        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]]: </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                          ) -> T.Dict[Literal["a", "b"], T.List[np.ndarray]]:
 </s> add                          ) -> dict[T.Literal["a", "b"], list[np.ndarray]]: </s> remove     def _get_headers(cls, side: Literal["a", "b"], width: int) -> np.ndarray:
 </s> add     def _get_headers(cls, side: T.Literal["a", "b"], width: int) -> np.ndarray: </s> remove                        side: Literal["a", "b"],
 </s> add                        side: T.Literal["a", "b"],
                           headers: dict[T.Literal["a", "b"], np.ndarray],
                           columns: int) -> dict[T.Literal["a", "b"], np.ndarray]:
          return header_box
  
      @classmethod
      def _duplicate_headers(cls,
                           headers: dict[T.Literal["a", "b"], np.ndarray],
                           columns: int) -> dict[T.Literal["a", "b"], np.ndarray]:
                           headers: dict[T.Literal["a", "b"], np.ndarray],
                           columns: int) -> dict[T.Literal["a", "b"], np.ndarray]:
          """ Duplicate headers for the number of columns displayed for each side.
  
          Parameters
          ----------
          headers: dict
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/trainer/_base.py