          ``False``. Default: ``False``
      """
      def __init__(self, session_id,
                   display: str = "loss",
                   loss_keys: Union[List[str], str] = "loss",
                   selections: Union[List[str], str] = "raw",
                   avg_samples: int = 500,
                   smooth_amount: float = 0.90,
                   flatten_outliers: bool = False) -> None:
          logger.debug("Initializing %s: (session_id: %s, display: %s, loss_keys: %s, "
                       "selections: %s, avg_samples: %s, smooth_amount: %s, flatten_outliers: %s)",
 
</s> remove                  normalize_method:  Optional[Literal["none", "clahe", "hist", "mean"]] = None,
 </s> add                  normalize_method:  T.Literal["none", "clahe", "hist", "mean"] | None = None, </s> remove                  model_kwargs: Optional[dict] = None,
 </s> add                  model_kwargs: dict | None = None, </s> remove                  threshold: T.Optional[T.List[float]] = None,
 </s> add                  threshold: list[float] | None = None, </s> remove                  exclude_gpus: Optional[List[int]] = None,
 </s> add                  exclude_gpus: list[int] | None = None, </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:
                 loss_keys: list[str] | str = "loss",
                 selections: list[str] | str = "raw",
          ``False``. Default: ``False``
      """
      def __init__(self, session_id,
                   display: str = "loss",
                 loss_keys: list[str] | str = "loss",
                 selections: list[str] | str = "raw",
                 loss_keys: list[str] | str = "loss",
                 selections: list[str] | str = "raw",
                   avg_samples: int = 500,
                   smooth_amount: float = 0.90,
                   flatten_outliers: bool = False) -> None:
          logger.debug("Initializing %s: (session_id: %s, display: %s, loss_keys: %s, "
                       "selections: %s, avg_samples: %s, smooth_amount: %s, flatten_outliers: %s)",
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/gui/analysis/stats.py