          logger.debug("Initializing ModelBase (%s): (model_dir: '%s', arguments: %s, predict: %s)",
                       self.__class__.__name__, model_dir, arguments, predict)
  
          # Input shape must be set within the plugin after initializing
          self.input_shape: T.Tuple[int, ...] = ()
          self.trainer = "original"  # Override for plugin specific trainer
          self.color_order: Literal["bgr", "rgb"] = "bgr"  # Override for image color channel order
  
          self._args = arguments
          self._is_predict = predict
 
</s> remove         self.color_order: Literal["bgr", "rgb"] = "bgr"  # Override for image color channel order
 </s> add         self.color_order: T.Literal["bgr", "rgb"] = "bgr"  # Override for image color channel order </s> remove         self._model: T.Optional[tf.keras.models.Model] = None
 </s> add         self._model: tf.keras.models.Model | None = None </s> remove         self._input_images: List[ConvertItem] = []
        self._predicted_images: List[Tuple[ConvertItem, np.ndarray]] = []
 </s> add         self._input_images: list[ConvertItem] = []
        self._predicted_images: list[tuple[ConvertItem, np.ndarray]] = [] </s> remove     tf_min: T.Tuple[int, int] = (2, 0)
    scaling: T.Tuple[int, int] = (0, 1)
 </s> add     tf_min: tuple[int, int] = (2, 0)
    scaling: tuple[int, int] = (0, 1) </s> remove                  pixels_per_degree: Optional[float] = None,
                 color_order: Literal["bgr", "rgb"] = "bgr") -> None:
 </s> add                  pixels_per_degree: float | None = None,
                 color_order: T.Literal["bgr", "rgb"] = "bgr") -> None:
        self.input_shape: tuple[int, ...] = ()
          logger.debug("Initializing ModelBase (%s): (model_dir: '%s', arguments: %s, predict: %s)",
                       self.__class__.__name__, model_dir, arguments, predict)
  
          # Input shape must be set within the plugin after initializing
        self.input_shape: tuple[int, ...] = ()
          self.trainer = "original"  # Override for plugin specific trainer
          self.color_order: Literal["bgr", "rgb"] = "bgr"  # Override for image color channel order
  
          self._args = arguments
          self._is_predict = predict
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/model/_base/model.py