code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  UpperCAmelCase__      =							logging.get_logger(__name__)
  
  UpperCAmelCase__      =							{
      # pcqm4mv1 now deprecated
      '''graphormer-base''': '''https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json''',
      # See all Graphormer models at https://huggingface.co/models?filter=graphormer
  }
  class 	a__				(				a_      ):
  
  
  
  
  
  			'''simple docstring'''
  
  			A	:							List[str]							= '''graphormer'''
  			A	:							Dict							= ['''past_key_values''']
  			def __init__(     self       : Tuple ,						lowerCAmelCase_       : int = 1 ,						lowerCAmelCase_       : int = 512 * 9 ,						lowerCAmelCase_       : int = 512 * 3 ,						lowerCAmelCase_       : int = 512 ,						lowerCAmelCase_       : int = 512 ,						lowerCAmelCase_       : int = 512 ,						lowerCAmelCase_       : int = 128 ,						lowerCAmelCase_       : int = 5 ,						lowerCAmelCase_       : int = 1_024 ,						lowerCAmelCase_       : str = "multi_hop" ,						lowerCAmelCase_       : int = 512 ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : int = 12 ,						lowerCAmelCase_       : int = 768 ,						lowerCAmelCase_       : int = 768 ,						lowerCAmelCase_       : int = 32 ,						lowerCAmelCase_       : float = 0.1 ,						lowerCAmelCase_       : float = 0.1 ,						lowerCAmelCase_       : float = 0.0 ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : str = "gelu" ,						lowerCAmelCase_       : float = None ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : int = 0 ,						lowerCAmelCase_       : bool = False ,						lowerCAmelCase_       : float = 0.0 ,						lowerCAmelCase_       : int = 8 ,						lowerCAmelCase_       : int = None ,						lowerCAmelCase_       : int = None ,						lowerCAmelCase_       : bool = True ,						lowerCAmelCase_       : bool = True ,						lowerCAmelCase_       : Any=0 ,						lowerCAmelCase_       : Any=1 ,						lowerCAmelCase_       : Optional[Any]=2 ,						**lowerCAmelCase_       : Union[str, Any] ,						)			->		Optional[Any]:
  						__A=  num_classes
  						__A=  num_atoms
  						__A=  num_in_degree
  						__A=  num_out_degree
  						__A=  num_edges
  						__A=  num_spatial
  						__A=  num_edge_dis
  						__A=  edge_type
  						__A=  multi_hop_max_dist
  						__A=  spatial_pos_max
  						__A=  max_nodes
  						__A=  num_hidden_layers
  						__A=  embedding_dim
  						__A=  embedding_dim
  						__A=  ffn_embedding_dim
  						__A=  num_attention_heads
  						__A=  dropout
  						__A=  attention_dropout
  						__A=  layerdrop
  						__A=  encoder_normalize_before
  						__A=  pre_layernorm
  						__A=  apply_graphormer_init
  						__A=  activation_fn
  						__A=  embed_scale
  						__A=  freeze_embeddings
  						__A=  num_trans_layers_to_freeze
  						__A=  share_input_output_embed
  						__A=  traceable
  						__A=  q_noise
  						__A=  qn_block_size
  
  						# These parameters are here for future extensions
  						# atm, the model only supports self attention
  						__A=  kdim
  						__A=  vdim
  						__A=  self_attention
  						__A=  bias
  
  						super().__init__(
  						    pad_token_id=lowerCAmelCase_ ,						bos_token_id=lowerCAmelCase_ ,						eos_token_id=lowerCAmelCase_ ,						**lowerCAmelCase_ ,						)
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  
  
  UpperCAmelCase__      =							[[0, 1, 1], [0, 0, 1], [1, 0, 0]]
  class 	a__				:
  
  
  
  
  
  			'''simple docstring'''
  
  			def __init__(     self       : Any ,						lowerCAmelCase_       : Optional[int]  )			->		Tuple:
  						__A=  name
  						__A=  []
  						__A=  []
  			def 				lowerCAmelCase    (     self       : Any ,						lowerCAmelCase_       : Dict  )			->		Any:
  						self.inbound.append(lowerCAmelCase_  )
  			def 				lowerCAmelCase    (     self       : str ,						lowerCAmelCase_       : Any  )			->		List[Any]:
  						self.outbound.append(lowerCAmelCase_  )
  
  			def __repr__(     self       : int  )			->		Union[str, Any]:
  						return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""
  
  
  
  
  
  
  def 	UpperCAmelCase__(							_SCREAMING_SNAKE_CASE				:   Any,_SCREAMING_SNAKE_CASE				:   Optional[int]=3,_SCREAMING_SNAKE_CASE				:   Dict=0.85   ):
  
  
  
  
  
  
  			"""simple docstring"""
  
  
  
  
  			__A=  {}
  			for node in nodes:
  						__A=  1
  
  			__A=  {}
  			for node in nodes:
  						__A=  len(node.outbound   )
  
  			for i in range(_SCREAMING_SNAKE_CASE   ):
  						print(f"""======= Iteration {i + 1} ======="""   )
  						for _, node in enumerate(_SCREAMING_SNAKE_CASE   ):
  									__A=  (1 - d) + d * sum(
  									    ranks[ib] / outbounds[ib] for ib in node.inbound   )
  						print(_SCREAMING_SNAKE_CASE   )
  
  
  
  
  
  
  def 	UpperCAmelCase__(							):
  
  
  
  
  
  
  			"""simple docstring"""
  
  
  
  
  			__A=  list(input('Enter Names of the Nodes: '   ).split()   )
  
  			__A=  [Node(_SCREAMING_SNAKE_CASE   ) for name in names]
  
  			for ri, row in enumerate(_SCREAMING_SNAKE_CASE   ):
  						for ci, col in enumerate(_SCREAMING_SNAKE_CASE   ):
  									if col == 1:
  												nodes[ci].add_inbound(names[ri]   )
  												nodes[ri].add_outbound(names[ci]   )
  
  			print('======= Nodes ======='   )
  			for node in nodes:
  						print(_SCREAMING_SNAKE_CASE   )
  
  			page_rank(_SCREAMING_SNAKE_CASE   )
  
  
  if __name__ == "__main__":
  					main()
  
  
  
  