          operation = 'ijk, kl -> ijl' if self._method == "gray" else 'ijl, kl -> ijk'
          path = np.einsum_path(operation, image[..., :3], conversion, optimize='optimal')[0]
          return np.einsum(operation, image[..., :3], conversion, optimize=path).astype('float32')
  
      def _near_split(self, bin_range: int) -> List[int]:
          """ Obtain the split for the given number of bins for the given range
  
          Parameters
          ----------
          bin_range: int
 
</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     def _collate_stats(self, session_id: int) -> Dict[str, Union[int, float]]:
 </s> add     def _collate_stats(self, session_id: int) -> dict[str, int | float]: </s> remove     def get_loss(self, session_id: Optional[int]) -> Dict[str, np.ndarray]:
 </s> add     def get_loss(self, session_id: int | None) -> dict[str, np.ndarray]: </s> remove                  width: Optional[int] = None) -> None:
 </s> add                  width: int | None = None) -> None: </s> remove     def binning(self) -> List[List[str]]:
 </s> add     def binning(self) -> list[list[str]]:
    def _near_split(self, bin_range: int) -> list[int]:
          operation = 'ijk, kl -> ijl' if self._method == "gray" else 'ijl, kl -> ijk'
          path = np.einsum_path(operation, image[..., :3], conversion, optimize='optimal')[0]
          return np.einsum(operation, image[..., :3], conversion, optimize=path).astype('float32')
  
    def _near_split(self, bin_range: int) -> list[int]:
          """ Obtain the split for the given number of bins for the given range
  
          Parameters
          ----------
          bin_range: int
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 
tools/sort/sort_methods.py