code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  _lowerCamelCase				:	Any				    =       logging.get_logger(__name__)
  
  _lowerCamelCase				:	List[Any]				    =       {
      'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
  }
  
  
  
  class 							__UpperCAmelCase  (       A__						):
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		__lowerCAmelCase 				=    MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  		__lowerCAmelCase 				=    '''mobilebert'''
  
  
  
  
  
  
  
  		def __init__(self						:      Union[str, Any]      ,      _lowerCAmelCase						:      Optional[int]=3_0522      ,      _lowerCAmelCase						:      int=512      ,      _lowerCAmelCase						:      str=24      ,      _lowerCAmelCase						:      Optional[Any]=4      ,      _lowerCAmelCase						:      Dict=512      ,      _lowerCAmelCase						:      Optional[Any]="relu"      ,      _lowerCAmelCase						:      Union[str, Any]=0.0      ,      _lowerCAmelCase						:      Any=0.1      ,      _lowerCAmelCase						:      Optional[Any]=512      ,      _lowerCAmelCase						:      Union[str, Any]=2      ,      _lowerCAmelCase						:      Tuple=0.02      ,      _lowerCAmelCase						:      Optional[Any]=1e-12      ,      _lowerCAmelCase						:      str=0      ,      _lowerCAmelCase						:      List[str]=128      ,      _lowerCAmelCase						:      Optional[int]=True      ,      _lowerCAmelCase						:      Tuple=True      ,      _lowerCAmelCase						:      Union[str, Any]=128      ,      _lowerCAmelCase						:      Union[str, Any]=False      ,      _lowerCAmelCase						:      List[Any]=True      ,      _lowerCAmelCase						:      Optional[Any]=4      ,      _lowerCAmelCase						:      Union[str, Any]="no_norm"      ,      _lowerCAmelCase						:      Dict=True      ,      _lowerCAmelCase						:      Dict=None      ,      **_lowerCAmelCase						:      List[Any]      ,      ):
  			super().__init__(pad_token_id=_lowerCAmelCase      ,      **_lowerCAmelCase      )
  
  			A							  =      vocab_size
  			A							  =      hidden_size
  			A							  =      num_hidden_layers
  			A							  =      num_attention_heads
  			A							  =      hidden_act
  			A							  =      intermediate_size
  			A							  =      hidden_dropout_prob
  			A							  =      attention_probs_dropout_prob
  			A							  =      max_position_embeddings
  			A							  =      type_vocab_size
  			A							  =      initializer_range
  			A							  =      layer_norm_eps
  			A							  =      embedding_size
  			A							  =      trigram_input
  			A							  =      use_bottleneck
  			A							  =      intra_bottleneck_size
  			A							  =      use_bottleneck_attention
  			A							  =      key_query_shared_bottleneck
  			A							  =      num_feedforward_networks
  			A							  =      normalization_type
  			A							  =      classifier_activation
  
  			if self.use_bottleneck:
  				A							  =      intra_bottleneck_size
  			else:
  				A							  =      hidden_size
  
  			A							  =      classifier_dropout
  
  
  
  
  
  
  class 							__UpperCAmelCase  (       A__						):
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		@property
  		def        A     (self						:      List[str]      ):
  			if self.task == "multiple-choice":
  				A							  =      {0: """batch""", 1: """choice""", 2: """sequence"""}
  			else:
  				A							  =      {0: """batch""", 1: """sequence"""}
  			return OrderedDict(
  			    [
  			        ("""input_ids""", dynamic_axis),
  			        ("""attention_mask""", dynamic_axis),
  			        ("""token_type_ids""", dynamic_axis),
  			    ]      )
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  _lowerCamelCase				:	List[str]				    =       [[0, 1, 1], [0, 0, 1], [1, 0, 0]]
  
  
  
  class 							__UpperCAmelCase  :
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		def __init__(self						:      List[Any]      ,      _lowerCAmelCase						:      List[Any]      ):
  			A							  =      name
  			A							  =      []
  			A							  =      []
  
  
  
  
  
  
  
  		def        A     (self						:      Dict      ,      _lowerCAmelCase						:      str      ):
  			self.inbound.append(_lowerCAmelCase      )
  
  
  
  
  
  
  
  		def        A     (self						:      Dict      ,      _lowerCAmelCase						:      Any      ):
  			self.outbound.append(_lowerCAmelCase      )
  
  
  
  
  
  
  
  		def __repr__(self						:      Tuple      ):
  			return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""
  
  
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase=3       ,			UpperCAmelCase=0.85    )      ->Tuple:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      {}
  	for node in nodes:
  		A							  =      1
  
  	A							  =      {}
  	for node in nodes:
  		A							  =      len(node.outbound    )
  
  	for i in range(UpperCAmelCase    ):
  		print(f"""======= Iteration {i + 1} ======="""    )
  		for _, node in enumerate(UpperCAmelCase    ):
  			A							  =      (1 - d) + d * sum(
  			    ranks[ib] / outbounds[ib] for ib in node.inbound    )
  		print(UpperCAmelCase    )
  
  
  
  
  def    __a (     )      ->Any:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      list(input("""Enter Names of the Nodes: """    ).split()    )
  
  	A							  =      [Node(UpperCAmelCase    ) for name in names]
  
  	for ri, row in enumerate(UpperCAmelCase    ):
  		for ci, col in enumerate(UpperCAmelCase    ):
  			if col == 1:
  				nodes[ci].add_inbound(names[ri]    )
  				nodes[ri].add_outbound(names[ci]    )
  
  	print("""======= Nodes ======="""    )
  	for node in nodes:
  		print(UpperCAmelCase    )
  
  	page_rank(UpperCAmelCase    )
  
  
  if __name__ == "__main__":
  				main()
  
  