  def _get_curve(start_y: int,
                 end_y: int,
                 num_points: int,
                 scale: float,
                 mode: Literal["full", "cap_max", "cap_min"] = "full") -> T.List[int]:
      """ Obtain a curve.
  
      For the given start and end y values, return the y co-ordinates of a curve for the given
      number of points. The points are rounded down to the nearest 8.
  
 
</s> remove     def __init__(self, level: int, scale: float, crop: T.Tuple[int, int]):
 </s> add     def __init__(self, level: int, scale: float, crop: tuple[int, int]): </s> remove     def _get_input_shape(self) -> T.Tuple[int, int, int]:
 </s> add     def _get_input_shape(self) -> tuple[int, int, int]: </s> remove         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output))
 </s> add         shapes = [T.cast(tuple[None, int, int, int], K.int_shape(output)) </s> remove         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(inputs))
 </s> add         shapes = [T.cast(tuple[None, int, int, int], K.int_shape(inputs)) </s> remove     def output_shapes(self) -> T.List[T.Tuple[None, int, int, int]]:
 </s> add     def output_shapes(self) -> list[tuple[None, int, int, int]]:
               mode: T.Literal["full", "cap_max", "cap_min"] = "full") -> list[int]:
  def _get_curve(start_y: int,
                 end_y: int,
                 num_points: int,
                 scale: float,
               mode: T.Literal["full", "cap_max", "cap_min"] = "full") -> list[int]:
      """ Obtain a curve.
  
      For the given start and end y values, return the y co-ordinates of a curve for the given
      number of points. The points are rounded down to the nearest 8.
  
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/phaze_a.py