'''simple docstring'''


import copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


snake_case__	:     Union[str, Any]      =    logging.get_logger(__name__)






class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:Union[str, Any]		       =						'''semantic'''


  def __init__(					self ,						snake_case_=1_0_0_0_0 ,						snake_case_=True ,						snake_case_=7_6_8 ,						snake_case_=False ,						snake_case_=False ,						snake_case_=False ,						snake_case_=False ,						snake_case_=0.7 ,						snake_case_=True ,						snake_case_=1_0_0_4_8 ,						snake_case_=1_2_9_5_9_5 ,						snake_case_=1_2_9_5_9_9 ,						snake_case_=1_0_0_0_0 ,						snake_case_=2_5_6 ,						snake_case_=49.9 ,						**snake_case_ ,						):




       '''simple docstring'''

       super().__init__(
           temperature=snake_case_ ,						do_sample=snake_case_ ,						eos_token_id=snake_case_ ,						renormalize_logits=snake_case_ ,						max_new_tokens=snake_case_ ,						output_scores=snake_case_ ,						return_dict_in_generate=snake_case_ ,						output_hidden_states=snake_case_ ,						output_attentions=snake_case_ ,						**snake_case_ ,						)

       UpperCAmelCase_				:  Dict  = text_encoding_offset
       UpperCAmelCase_				:  List[str]  = text_pad_token
       UpperCAmelCase_				:  Dict  = eos_token_id
       UpperCAmelCase_				:  Dict  = semantic_infer_token
       UpperCAmelCase_				:  Optional[Any]  = semantic_vocab_size
       UpperCAmelCase_				:  Optional[Any]  = max_input_semantic_length
       UpperCAmelCase_				:  Optional[Any]  = semantic_rate_hz







class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:Optional[Any]		       =						'''coarse_acoustics'''


  def __init__(					self ,						snake_case_=True ,						snake_case_=False ,						snake_case_=False ,						snake_case_=False ,						snake_case_=False ,						snake_case_=0.7 ,						snake_case_=True ,						snake_case_=1_2_0_4_8 ,						snake_case_=7_5 ,						snake_case_=2 ,						snake_case_=1_2_0_5_0 ,						snake_case_=2_5_6 ,						snake_case_ = 6_3_0 ,						snake_case_ = 6_0 ,						**snake_case_ ,						):




       '''simple docstring'''

       super().__init__(
           temperature=snake_case_ ,						do_sample=snake_case_ ,						renormalize_logits=snake_case_ ,						output_scores=snake_case_ ,						return_dict_in_generate=snake_case_ ,						output_hidden_states=snake_case_ ,						output_attentions=snake_case_ ,						**snake_case_ ,						)

       UpperCAmelCase_				:  List[Any]  = coarse_semantic_pad_token
       UpperCAmelCase_				:  Union[str, Any]  = coarse_rate_hz
       UpperCAmelCase_				:  Tuple  = n_coarse_codebooks
       UpperCAmelCase_				:  int  = coarse_infer_token
       UpperCAmelCase_				:  Dict  = max_coarse_input_length
       UpperCAmelCase_				:  Dict  = max_coarse_history
       UpperCAmelCase_				:  Optional[int]  = sliding_window_len







class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:List[str]		       =						'''fine_acoustics'''


  def __init__(					self ,						snake_case_=0.5 ,						snake_case_=5_1_2 ,						snake_case_=1_0_2_4 ,						snake_case_=8 ,						**snake_case_ ,						):




       '''simple docstring'''

       super().__init__(temperature=snake_case_		)

       UpperCAmelCase_				:  str  = max_fine_history_length
       UpperCAmelCase_				:  Optional[Any]  = max_fine_input_length
       UpperCAmelCase_				:  Tuple  = n_fine_codebooks







class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:Optional[int]		       =						'''bark'''
  lowerCamelCase_						:Dict		       =						True


  def __init__(					self ,						snake_case_ = None ,						snake_case_ = None ,						snake_case_ = None ,						snake_case_=2_4_0_0_0 ,						snake_case_=1_0_2_4 ,						**snake_case_ ,						):




       '''simple docstring'''

       if semantic_config is None:
            UpperCAmelCase_				:  Union[str, Any]  = {}
            logger.info('semantic_config is None. initializing the semantic model with default values.'		)

       if coarse_acoustics_config is None:
            UpperCAmelCase_				:  Tuple  = {}
            logger.info('coarse_acoustics_config is None. initializing the coarse model with default values.'		)

       if fine_acoustics_config is None:
            UpperCAmelCase_				:  int  = {}
            logger.info('fine_acoustics_config is None. initializing the fine model with default values.'		)

       UpperCAmelCase_				:  str  = BarkSemanticGenerationConfig(**snake_case_		)
       UpperCAmelCase_				:  List[str]  = BarkCoarseGenerationConfig(**snake_case_		)
       UpperCAmelCase_				:  Union[str, Any]  = BarkFineGenerationConfig(**snake_case_		)

       UpperCAmelCase_				:  Optional[int]  = sample_rate
       UpperCAmelCase_				:  List[str]  = codebook_size


  @classmethod
  def _UpperCamelCase	(					cls ,						snake_case_ ,						snake_case_ ,						snake_case_ ,						**snake_case_ ,						):




       '''simple docstring'''

       return cls(
           semantic_config=semantic_config.to_dict() ,						coarse_acoustics_config=coarse_acoustics_config.to_dict() ,						fine_acoustics_config=fine_acoustics_config.to_dict() ,						**snake_case_ ,						)






  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       UpperCAmelCase_				:  Union[str, Any]  = copy.deepcopy(self.__dict__		)

       UpperCAmelCase_				:  str  = self.semantic_config.to_dict()
       UpperCAmelCase_				:  Any  = self.coarse_acoustics_config.to_dict()
       UpperCAmelCase_				:  str  = self.fine_acoustics_config.to_dict()

       UpperCAmelCase_				:  Tuple  = self.__class__.model_type
       return output











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



class       _lowercase				:





	"""simple docstring"""




	def __init__(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  name
						a   	=  []
						a   	=  []




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						self.inbound.append(lowerCamelCase_						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						self.outbound.append(lowerCamelCase_						)




	def __repr__(self						):
						"""simple docstring"""

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






def        a( A			:       Optional[Any]					,	A			:       Optional[int]=3					,	A			:       str=0.85			)						->			Optional[Any]:
					"""simple docstring"""





					a   	=  {}
					for node in nodes:
										a   	=  1

					a   	=  {}
					for node in nodes:
										a   	=  len(node.outbound			)

					for i in range(A			):
										print(f'''======= Iteration {i + 1} ======='''			)
										for _, node in enumerate(A			):
															a   	=  (1 - d) + d * sum(
															    ranks[ib] / outbounds[ib] for ib in node.inbound			)
										print(A			)






def        a( )						->			List[Any]:
					"""simple docstring"""





					a   	=  list(input("Enter Names of the Nodes: "			).split()			)

					a   	=  [Node(A			) for name in names]

					for ri, row in enumerate(A			):
										for ci, col in enumerate(A			):
															if col == 1:
																				nodes[ci].add_inbound(names[ri]			)
																				nodes[ri].add_outbound(names[ci]			)

					print("======= Nodes ======="			)
					for node in nodes:
										print(A			)

					page_rank(A			)


if __name__ == "__main__":
				main()
