


def      a	(							SCREAMING_SNAKE_CASE_      :		int = 5_0       ):






       """simple docstring"""





       UpperCamelCase    :	Dict   	=		[1] * (length + 1)

       for row_length in range(length + 1       ):
              for tile_length in range(2							,			5       ):
                     for tile_start in range(row_length - tile_length + 1       ):
                            ways_number[row_length] += ways_number[
                                row_length - tile_start - tile_length
                            ]

       return ways_number[length]


if __name__ == "__main__":
  print(f'''{solution() = }''')






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,
  )

