


from __future__ import annotations




def 	a_      (    SCREAMING_SNAKE_CASE__					:      list		,			SCREAMING_SNAKE_CASE__					:      int | None = None		,			SCREAMING_SNAKE_CASE__					:      int | None = None     ):
       '''simple docstring'''





       if start is None:
              _lowerCamelCase       :		Union[str, Any]		=0

       if end is None:
              _lowerCamelCase       :		List[Any]		=len(SCREAMING_SNAKE_CASE__     ) - 1

       if start >= end:
              return

       _lowerCamelCase       :		Any		=(start + end) // 2

       slowsort(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__     )
       slowsort(SCREAMING_SNAKE_CASE__		,			mid + 1		,			SCREAMING_SNAKE_CASE__     )

       if sequence[end] < sequence[mid]:
              _lowerCamelCase	,     _lowerCamelCase       :		Optional[Any]		=sequence[mid], sequence[end]

       slowsort(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__		,			end - 1     )


if __name__ == "__main__":
 from doctest import testmod

 testmod()






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
 if not (is_transformers_available() and is_torch_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
 from .camera import create_pan_cameras
 from .pipeline_shap_e import ShapEPipeline
 from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
 from .renderer import (
     BoundingBoxVolume,
     ImportanceRaySampler,
     MLPNeRFModelOutput,
     MLPNeRSTFModel,
     ShapEParamsProjModel,
     ShapERenderer,
     StratifiedRaySampler,
     VoidNeRFModel,
 )


