                       "mask_color: %s)",
                       self.__class__.__name__, model, coverage_ratio, mask_opacity, mask_color)
          self._model = model
          self._display_mask = model.config["learn_mask"] or model.config["penalized_mask_loss"]
          self.images: T.Dict[Literal["a", "b"], T.List[np.ndarray]] = {}
          self._coverage_ratio = coverage_ratio
          self._mask_opacity = mask_opacity / 100.0
          self._mask_color = np.array(hex_to_rgb(mask_color))[..., 2::-1] / 255.
          logger.debug("Initialized %s", self.__class__.__name__)
  
 
</s> remove                  configfile: T.Optional[str]) -> None:
 </s> add                  configfile: str | None) -> None: </s> remove                  images: T.Dict[Literal["a", "b"], T.List[str]],
 </s> add                  images: dict[T.Literal["a", "b"], list[str]], </s> remove         assert config["centering"] in get_args(CenteringType)
        self._centering: CenteringType = cast(CenteringType, config["centering"])
 </s> add         assert config["centering"] in T.get_args(CenteringType)
        self._centering: CenteringType = T.cast(CenteringType, config["centering"]) </s> remove                  image_paths: T.Dict[Literal["a", "b"], T.List[str]]) -> None:
 </s> add                  image_paths: dict[T.Literal["a", "b"], list[str]]) -> None: </s> remove         feeds: T.Dict[Literal["a", "b"], np.ndarray] = {}
        for idx, side in enumerate(get_args(Literal["a", "b"])):
 </s> add         feeds: dict[T.Literal["a", "b"], np.ndarray] = {}
        for idx, side in enumerate(T.get_args(T.Literal["a", "b"])):
        self.images: dict[T.Literal["a", "b"], list[np.ndarray]] = {}
                       "mask_color: %s)",
                       self.__class__.__name__, model, coverage_ratio, mask_opacity, mask_color)
          self._model = model
          self._display_mask = model.config["learn_mask"] or model.config["penalized_mask_loss"]
        self.images: dict[T.Literal["a", "b"], list[np.ndarray]] = {}
          self._coverage_ratio = coverage_ratio
          self._mask_opacity = mask_opacity / 100.0
          self._mask_color = np.array(hex_to_rgb(mask_color))[..., 2::-1] / 255.
          logger.debug("Initialized %s", self.__class__.__name__)
  
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