  
          logger.debug("Returning predictions: %s", {key: val.shape for key, val in preds.items()})
          return preds
  
      def _compile_preview(self, predictions: T.Dict[str, np.ndarray]) -> np.ndarray:
          """ Compile predictions and images into the final preview image.
  
          Parameters
          ----------
          predictions: dict
 
</s> remove                     method: Literal["single", "centroid", "median", "ward"]) -> np.ndarray:
 </s> add                     method: T.Literal["single", "centroid", "median", "ward"]) -> np.ndarray: </s> remove                        side: Literal["a", "b"],
                       samples: T.List[np.ndarray],
                       predictions: T.List[np.ndarray]) -> T.List[np.ndarray]:
 </s> add                        side: T.Literal["a", "b"],
                       samples: list[np.ndarray],
                       predictions: list[np.ndarray]) -> 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                          samples: List[np.ndarray],
                         filenames: List[str],
 </s> add                          samples: list[np.ndarray],
                         filenames: list[str], </s> remove     def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray:
 </s> add     def _compile_feed_faces(feed_faces: list[AlignedFace]) -> np.ndarray:
    def _compile_preview(self, predictions: dict[str, np.ndarray]) -> np.ndarray:
  
          logger.debug("Returning predictions: %s", {key: val.shape for key, val in preds.items()})
          return preds
  
    def _compile_preview(self, predictions: dict[str, np.ndarray]) -> np.ndarray:
          """ Compile predictions and images into the final preview image.
  
          Parameters
          ----------
          predictions: 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 
plugins/train/trainer/_base.py