



import random
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	list     ,				_SCREAMING_SNAKE_CASE   :	Optional[int]				)->tuple:
      _lowerCAmelCase			,   _lowerCAmelCase			,   _lowerCAmelCase 			=  [], [], []
      for element in data:
            if element < pivot:
                  less.append(_SCREAMING_SNAKE_CASE				)
            elif element > pivot:
                  greater.append(_SCREAMING_SNAKE_CASE				)
            else:
                  equal.append(_SCREAMING_SNAKE_CASE				)
      return less, equal, greater


def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	list     ,				_SCREAMING_SNAKE_CASE   :	int				)->Any:
      # index = len(items) // 2 when trying to find the median
      #   (value of index when items is sorted)

      # invalid input
      if index >= len(_SCREAMING_SNAKE_CASE				) or index < 0:
            return None

      _lowerCAmelCase 			=  items[random.randint(0     ,				len(_SCREAMING_SNAKE_CASE				) - 1				)]
      _lowerCAmelCase 			=  0
      _lowerCAmelCase			,   _lowerCAmelCase			,   _lowerCAmelCase 			=  _partition(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)
      _lowerCAmelCase 			=  len(_SCREAMING_SNAKE_CASE				)
      _lowerCAmelCase 			=  len(_SCREAMING_SNAKE_CASE				)

      # index is the pivot
      if m <= index < m + count:
            return pivot
      # must be in smaller
      elif m > index:
            return quick_select(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)
      # must be in larger
      else:
            return quick_select(_SCREAMING_SNAKE_CASE     ,				index - (m + count)				)






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,
    )