





"""simple docstring"""




lowerCamelCase_	:		Optional[Any]         =   [[0, 1, 1], [0, 0, 1], [1, 0, 0]]

class 					_UpperCAmelCase    :



      '''simple docstring'''

      def __init__(	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Any									=    name
        A_    :			Union[str, Any]									=    []
        A_    :			Union[str, Any]									=    []

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        self.inbound.append(snake_case_    )

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        self.outbound.append(snake_case_    )

      def __repr__(	self    ):

        """simple docstring"""

        return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase=3					,   _UpperCAmelCase=0.85   ):






  """simple docstring"""





  A_    :			Optional[Any]									=    {}
  for node in nodes:
    A_    :			List[Any]									=    1

  A_    :			Any									=    {}
  for node in nodes:
    A_    :			Tuple									=    len(node.outbound   )

  for i in range(_UpperCAmelCase   ):
    print(f"""======= Iteration {i + 1} ======="""   )
    for _, node in enumerate(_UpperCAmelCase   ):
      A_    :			Optional[Any]									=    (1 - d) + d * sum(
          ranks[ib] / outbounds[ib] for ib in node.inbound   )
    print(_UpperCAmelCase   )





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  A_    :			Tuple									=    list(input('Enter Names of the Nodes: '   ).split()   )

  A_    :			Dict									=    [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()

'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowercase	=    logging.get_logger(__name__)

__lowercase	=    {
    '''google/pegasus-x-base''': '''https://huggingface.co/google/pegasus-x-base/resolve/main/config.json''',
    '''google/pegasus-x-large''': '''https://huggingface.co/google/pegasus-x-large/resolve/main/config.json''',
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}

class 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	_UpperCamelCase							:  Dict								=		'''pegasus_x'''
	_UpperCamelCase							:  Optional[int]								=		['''past_key_values''']
	_UpperCamelCase							:  str								=		{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}




	def __init__(						self				: Any					,						UpperCamelCase_				: Tuple=96103					,						UpperCamelCase_				: List[str]=16384					,						UpperCamelCase_				: Any=16					,						UpperCamelCase_				: Dict=4096					,						UpperCamelCase_				: str=16					,						UpperCamelCase_				: Union[str, Any]=16					,						UpperCamelCase_				: str=4096					,						UpperCamelCase_				: Any=16					,						UpperCamelCase_				: str=0.0					,						UpperCamelCase_				: Dict=0.0					,						UpperCamelCase_				: Union[str, Any]=True					,						UpperCamelCase_				: Union[str, Any]=True					,						UpperCamelCase_				: List[str]="gelu"					,						UpperCamelCase_				: Dict=1024					,						UpperCamelCase_				: str=0.1					,						UpperCamelCase_				: str=0.0					,						UpperCamelCase_				: Optional[Any]=0.0					,						UpperCamelCase_				: str=0.0_2					,						UpperCamelCase_				: Optional[Any]=0					,						UpperCamelCase_				: Tuple=True					,						UpperCamelCase_				: Tuple=0					,						UpperCamelCase_				: Optional[int]=1					,						UpperCamelCase_				: List[Any]=1					,						UpperCamelCase_				: List[Any]=32					,						UpperCamelCase_				: Optional[int]=512					,						UpperCamelCase_				: Any=True					,						**UpperCamelCase_				: Dict					,						):
			lowerCAmelCase_   :       List[Any]    							=vocab_size
			lowerCAmelCase_   :       Any    							=max_position_embeddings
			lowerCAmelCase_   :       int    							=d_model
			lowerCAmelCase_   :       List[Any]    							=encoder_ffn_dim
			lowerCAmelCase_   :       Union[str, Any]    							=encoder_layers
			lowerCAmelCase_   :       Tuple    							=encoder_attention_heads
			lowerCAmelCase_   :       List[Any]    							=decoder_ffn_dim
			lowerCAmelCase_   :       List[Any]    							=decoder_layers
			lowerCAmelCase_   :       List[str]    							=decoder_attention_heads
			lowerCAmelCase_   :       str    							=dropout
			lowerCAmelCase_   :       Any    							=attention_dropout
			lowerCAmelCase_   :       Any    							=activation_dropout
			lowerCAmelCase_   :       Optional[int]    							=activation_function
			lowerCAmelCase_   :       List[Any]    							=init_std
			lowerCAmelCase_   :       List[str]    							=encoder_layerdrop
			lowerCAmelCase_   :       Optional[int]    							=decoder_layerdrop
			lowerCAmelCase_   :       int    							=use_cache
			lowerCAmelCase_   :       Union[str, Any]    							=encoder_layers
			lowerCAmelCase_   :       Tuple    							=scale_embedding  # scale factor will be sqrt(d_model) if True

			lowerCAmelCase_   :       Optional[int]    							=num_global_tokens
			lowerCAmelCase_   :       List[str]    							=block_size
			lowerCAmelCase_   :       Optional[int]    							=stagger_local_blocks

			super().__init__(
			    pad_token_id=UpperCamelCase_					,						eos_token_id=UpperCamelCase_					,						is_encoder_decoder=UpperCamelCase_					,						decoder_start_token_id=UpperCamelCase_					,						forced_eos_token_id=UpperCamelCase_					,						**UpperCamelCase_					,						)




	@property
	def 	__A      (						self				: List[str]      ):
			return self.encoder_attention_heads





	@property
	def 	__A      (						self				: int      ):
			return self.d_model






