



def 						UpperCamelCase      (  snake_case__			:       Tuple      )      ->	int:  # noqa: E741
   UpperCamelCase       :    str		      =      len(snake_case__      )
   UpperCamelCase       :    List[str]		      =      0
   UpperCamelCase       :    List[Any]		      =      [0] * n
   UpperCamelCase       :    str		      =      [False] * n
   UpperCamelCase       :    List[Any]		      =      [False] * n

   def dfs(snake_case__			:       Any			,	snake_case__			:       Optional[int]			,	snake_case__			:       str			,	snake_case__			:       int      ):
      if parent == root:
         out_edge_count += 1
      UpperCamelCase       :    Dict		      =      True
      UpperCamelCase       :    str		      =      at

      for to in l[at]:
         if to == parent:
            pass
         elif not visited[to]:
            UpperCamelCase       :    Dict		      =      dfs(snake_case__			,	snake_case__			,	snake_case__			,	snake_case__      )
            UpperCamelCase       :    Optional[Any]		      =      min(low[at]			,	low[to]      )

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

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

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


# Adjacency list of graph
__UpperCAmelCase			  =			{
    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)











import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


A__      :     Tuple       =					logging.get_logger(__name__)
class  _UpperCAmelCase   (			A__      ):

				"""simple docstring"""




				lowercase__											=			"""upernet"""




				def __init__(	self		:       Dict,    lowerCamelCase		:       Union[str, Any]=None,    lowerCamelCase		:       str=512,    lowerCamelCase		:       Optional[Any]=0.02,    lowerCamelCase		:       Optional[Any]=[1, 2, 3, 6],    lowerCamelCase		:       Optional[int]=True,    lowerCamelCase		:       Tuple=0.4,    lowerCamelCase		:       Optional[int]=384,    lowerCamelCase		:       Optional[int]=256,    lowerCamelCase		:       Dict=1,    lowerCamelCase		:       str=False,    lowerCamelCase		:       List[str]=255,    **lowerCamelCase		:       List[Any],    ):

								'''simple docstring'''
								super().__init__(**lowerCamelCase    )

								if backbone_config is None:
												logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''    )
												lowercase__  					=     CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']    )
								elif isinstance(lowerCamelCase,    lowerCamelCase    ):
												lowercase__  					=     backbone_config.get('''model_type'''    )
												lowercase__  					=     CONFIG_MAPPING[backbone_model_type]
												lowercase__  					=     config_class.from_dict(lowerCamelCase    )

								lowercase__  					=     backbone_config
								lowercase__  					=     hidden_size
								lowercase__  					=     initializer_range
								lowercase__  					=     pool_scales
								lowercase__  					=     use_auxiliary_head
								lowercase__  					=     auxiliary_loss_weight
								lowercase__  					=     auxiliary_in_channels
								lowercase__  					=     auxiliary_channels
								lowercase__  					=     auxiliary_num_convs
								lowercase__  					=     auxiliary_concat_input
								lowercase__  					=     loss_ignore_index




				def 							lowercase__  (	self		:       str    ):

								'''simple docstring'''
								lowercase__  					=     copy.deepcopy(self.__dict__    )
								lowercase__  					=     self.backbone_config.to_dict()
								lowercase__  					=     self.__class__.model_type
								return output




