


def      a	(							SCREAMING_SNAKE_CASE_      :		Dict       ):  # noqa: E741






       """simple docstring"""





       UpperCamelCase    :	List[str]   	=		len(SCREAMING_SNAKE_CASE_       )
       UpperCamelCase    :	List[str]   	=		0
       UpperCamelCase    :	Dict   	=		[0] * n
       UpperCamelCase    :	List[str]   	=		[False] * n
       UpperCamelCase    :	List[Any]   	=		[False] * n

       def dfs(SCREAMING_SNAKE_CASE_      :		Any							,			SCREAMING_SNAKE_CASE_      :		int							,			SCREAMING_SNAKE_CASE_      :		Tuple							,			SCREAMING_SNAKE_CASE_      :		Any       ):
              if parent == root:
                     out_edge_count += 1
              UpperCamelCase    :	str   	=		True
              UpperCamelCase    :	Union[str, Any]   	=		at

              for to in l[at]:
                     if to == parent:
                            pass
                     elif not visited[to]:
                            UpperCamelCase    :	List[str]   	=		dfs(SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_       )
                            UpperCamelCase    :	List[str]   	=		min(low[at]							,			low[to]       )

                            # AP found via bridge
                            if at < low[to]:
                                   UpperCamelCase    :	List[str]   	=		True
                            # AP found via cycle
                            if at == low[to]:
                                   UpperCamelCase    :	Optional[int]   	=		True
                     else:
                            UpperCamelCase    :	Any   	=		min(low[at]							,			SCREAMING_SNAKE_CASE_       )
              return out_edge_count

       for i in range(SCREAMING_SNAKE_CASE_       ):
              if not visited[i]:
                     UpperCamelCase    :	Dict   	=		0
                     UpperCamelCase    :	Any   	=		dfs(SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_							,			-1							,			SCREAMING_SNAKE_CASE_       )
                     UpperCamelCase    :	List[Any]   	=		out_edge_count > 1

       for x in range(len(SCREAMING_SNAKE_CASE_       )       ):
              if is_art[x] is True:
                     print(SCREAMING_SNAKE_CASE_       )


# Adjacency list of graph
__UpperCAmelCase : int 			=				{
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}
compute_ap(data)





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,
  )

