

'''simple docstring'''



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,
  )









'''simple docstring'''



def    a__       (  a__						):




     """simple docstring"""


     if isinstance(a__      ,    a__						):
          raise TypeError("""'float' object cannot be interpreted as an integer"""						)
     if isinstance(a__      ,    a__						):
          raise TypeError("""'str' object cannot be interpreted as an integer"""						)

     if num == 0:
          return "0b0"

     __SCREAMING_SNAKE_CASE     =      False

     if num < 0:
          __SCREAMING_SNAKE_CASE     =      True
          __SCREAMING_SNAKE_CASE     =      -num

     __SCREAMING_SNAKE_CASE     =      []
     while num > 0:
          binary.insert(0      ,    num % 2						)
          num >>= 1

     if negative:
          return "-0b" + "".join(str(a__						) for e in binary						)

     return "0b" + "".join(str(a__						) for e in binary						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()






