                   feature_exponent: float = 0.5,
                   lower_threshold_exponent: float = 0.4,
                   upper_threshold_exponent: float = 0.95,
                   epsilon: float = 1e-15,
                   pixels_per_degree: Optional[float] = None,
                   color_order: Literal["bgr", "rgb"] = "bgr") -> None:
          logger.debug("Initializing: %s (computed_distance_exponent '%s', feature_exponent: %s, "
                       "lower_threshold_exponent: %s, upper_threshold_exponent: %s, epsilon: %s, "
                       "pixels_per_degree: %s, color_order: %s)", self.__class__.__name__,
                       computed_distance_exponent, feature_exponent, lower_threshold_exponent,
                       upper_threshold_exponent, epsilon, pixels_per_degree, color_order)
 
</s> remove                  threshold: T.Optional[T.List[float]] = None,
 </s> add                  threshold: list[float] | None = None, </s> remove                  method: Literal["single", "centroid", "median", "ward"],
                 threshold: Optional[float] = None) -> None:
 </s> add                  method: T.Literal["single", "centroid", "median", "ward"],
                 threshold: float | None = None) -> None: </s> remove                  loss_keys: Union[List[str], str] = "loss",
                 selections: Union[List[str], str] = "raw",
 </s> add                  loss_keys: list[str] | str = "loss",
                 selections: list[str] | str = "raw", </s> remove                  exclude_gpus: Optional[List[int]] = None,
 </s> add                  exclude_gpus: list[int] | None = None, </s> remove                  model_kwargs: Optional[dict] = None,
 </s> add                  model_kwargs: dict | None = None,
                 pixels_per_degree: float | None = None,
                 color_order: T.Literal["bgr", "rgb"] = "bgr") -> None:
                   feature_exponent: float = 0.5,
                   lower_threshold_exponent: float = 0.4,
                   upper_threshold_exponent: float = 0.95,
                   epsilon: float = 1e-15,
                 pixels_per_degree: float | None = None,
                 color_order: T.Literal["bgr", "rgb"] = "bgr") -> None:
                 pixels_per_degree: float | None = None,
                 color_order: T.Literal["bgr", "rgb"] = "bgr") -> None:
          logger.debug("Initializing: %s (computed_distance_exponent '%s', feature_exponent: %s, "
                       "lower_threshold_exponent: %s, upper_threshold_exponent: %s, epsilon: %s, "
                       "pixels_per_degree: %s, color_order: %s)", self.__class__.__name__,
                       computed_distance_exponent, feature_exponent, lower_threshold_exponent,
                       upper_threshold_exponent, epsilon, pixels_per_degree, color_order)
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 
lib/model/losses/perceptual_loss.py