  
  class SliceO2K(keras.layers.Layer):
      """ Custom Keras Slice layer generated by onnx2keras. """
      def __init__(self,
                   starts: T.List[int],
                   ends: T.List[int],
                   axes: T.Optional[T.List[int]] = None,
                   steps: T.Optional[T.List[int]] = None,
                   **kwargs) -> None:
          self._starts = starts
          self._ends = ends
          self._axes = axes
          self._steps = steps
 
</s> remove     def _get_slices(self, dimensions: int) -> T.List[T.Tuple[int, ...]]:
 </s> add     def _get_slices(self, dimensions: int) -> list[tuple[int, ...]]: </s> remove                  git_model_id: Optional[int] = None,
                 model_filename: Optional[str] = None,
                 configfile: Optional[str] = None,
 </s> add                  git_model_id: int | None = None,
                 model_filename: str | None = None,
                 configfile: str | None = None, </s> remove                  git_model_id: Optional[int] = None,
                 model_filename: Optional[Union[str, List[str]]] = None,
                 configfile: Optional[str] = None,
 </s> add                  git_model_id: int | None = None,
                 model_filename: str | list[str] | None = None,
                 configfile: str | None = None, </s> remove                  kernel_size: T.Union[int, T.Tuple[int]],
 </s> add                  kernel_size: int | tuple[int], </s> remove                  kernel_size: T.Union[int, T.Tuple[int, int]] = 3,
 </s> add                  kernel_size: int | tuple[int, int] = 3,
                 starts: list[int],
                 ends: list[int],
                 axes: list[int] | None = None,
                 steps: list[int] | None = None,
  
  class SliceO2K(keras.layers.Layer):
      """ Custom Keras Slice layer generated by onnx2keras. """
      def __init__(self,
                 starts: list[int],
                 ends: list[int],
                 axes: list[int] | None = None,
                 steps: list[int] | None = None,
                 starts: list[int],
                 ends: list[int],
                 axes: list[int] | None = None,
                 steps: list[int] | None = None,
                 starts: list[int],
                 ends: list[int],
                 axes: list[int] | None = None,
                 steps: list[int] | None = None,
                 starts: list[int],
                 ends: list[int],
                 axes: list[int] | None = None,
                 steps: list[int] | None = None,
                   **kwargs) -> None:
          self._starts = starts
          self._ends = ends
          self._axes = axes
          self._steps = steps
keep keep keep keep replace replace 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 
plugins/extract/detect/s3fd.py