code: 
  
  import copy
  from typing import Dict
  
  from ...generation.configuration_utils import GenerationConfig
  from ...utils import logging
  
  
  _lowerCAmelCase     :			List[Any]    =logging.get_logger(__name__)
  
  class __UpperCamelCase    (							_a		):
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					__magic_name__     			=      "semantic"
  
  
  
  
  
  					def __init__(							self							,			lowerCamelCase__=1_0_0_0_0							,			lowerCamelCase__=True							,			lowerCamelCase__=7_6_8							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=0.7							,			lowerCamelCase__=True							,			lowerCamelCase__=1_0_0_4_8							,			lowerCamelCase__=1_2_9_5_9_5							,			lowerCamelCase__=1_2_9_5_9_9							,			lowerCamelCase__=1_0_0_0_0							,			lowerCamelCase__=2_5_6							,			lowerCamelCase__=49.9							,			**lowerCamelCase__							,			):
  						super().__init__(
  						    temperature=lowerCamelCase__							,			do_sample=lowerCamelCase__							,			eos_token_id=lowerCamelCase__							,			renormalize_logits=lowerCamelCase__							,			max_new_tokens=lowerCamelCase__							,			output_scores=lowerCamelCase__							,			return_dict_in_generate=lowerCamelCase__							,			output_hidden_states=lowerCamelCase__							,			output_attentions=lowerCamelCase__							,			**lowerCamelCase__							,			)
  
  						UpperCAmelCase__:  Dict		       =   text_encoding_offset
  						UpperCAmelCase__:  List[Any]		       =   text_pad_token
  						UpperCAmelCase__:  Optional[int]		       =   eos_token_id
  						UpperCAmelCase__:  Any		       =   semantic_infer_token
  						UpperCAmelCase__:  Optional[Any]		       =   semantic_vocab_size
  						UpperCAmelCase__:  List[Any]		       =   max_input_semantic_length
  						UpperCAmelCase__:  List[Any]		       =   semantic_rate_hz
  
  class __UpperCamelCase    (							_a		):
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					__magic_name__     			=      "coarse_acoustics"
  
  
  
  
  
  					def __init__(							self							,			lowerCamelCase__=True							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=False							,			lowerCamelCase__=0.7							,			lowerCamelCase__=True							,			lowerCamelCase__=1_2_0_4_8							,			lowerCamelCase__=7_5							,			lowerCamelCase__=2							,			lowerCamelCase__=1_2_0_5_0							,			lowerCamelCase__=2_5_6							,			lowerCamelCase__ = 6_3_0							,			lowerCamelCase__ = 6_0							,			**lowerCamelCase__							,			):
  						super().__init__(
  						    temperature=lowerCamelCase__							,			do_sample=lowerCamelCase__							,			renormalize_logits=lowerCamelCase__							,			output_scores=lowerCamelCase__							,			return_dict_in_generate=lowerCamelCase__							,			output_hidden_states=lowerCamelCase__							,			output_attentions=lowerCamelCase__							,			**lowerCamelCase__							,			)
  
  						UpperCAmelCase__:  int		       =   coarse_semantic_pad_token
  						UpperCAmelCase__:  Tuple		       =   coarse_rate_hz
  						UpperCAmelCase__:  Optional[int]		       =   n_coarse_codebooks
  						UpperCAmelCase__:  Tuple		       =   coarse_infer_token
  						UpperCAmelCase__:  str		       =   max_coarse_input_length
  						UpperCAmelCase__:  Dict		       =   max_coarse_history
  						UpperCAmelCase__:  Any		       =   sliding_window_len
  
  class __UpperCamelCase    (							_a		):
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					__magic_name__     			=      "fine_acoustics"
  
  
  
  
  
  					def __init__(							self							,			lowerCamelCase__=0.5							,			lowerCamelCase__=5_1_2							,			lowerCamelCase__=1_0_2_4							,			lowerCamelCase__=8							,			**lowerCamelCase__							,			):
  						super().__init__(temperature=lowerCamelCase__	)
  
  						UpperCAmelCase__:  Optional[Any]		       =   max_fine_history_length
  						UpperCAmelCase__:  Any		       =   max_fine_input_length
  						UpperCAmelCase__:  int		       =   n_fine_codebooks
  
  class __UpperCamelCase    (							_a		):
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					__magic_name__     			=      "bark"
  					__magic_name__     			=      True
  
  
  
  
  
  					def __init__(							self							,			lowerCamelCase__ = None							,			lowerCamelCase__ = None							,			lowerCamelCase__ = None							,			lowerCamelCase__=2_4_0_0_0							,			lowerCamelCase__=1_0_2_4							,			**lowerCamelCase__							,			):
  						if semantic_config is None:
  							UpperCAmelCase__:  List[str]		       =   {}
  							logger.info("semantic_config is None. initializing the semantic model with default values."	)
  
  						if coarse_acoustics_config is None:
  							UpperCAmelCase__:  Dict		       =   {}
  							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__:  Tuple		       =   BarkSemanticGenerationConfig(**lowerCamelCase__	)
  						UpperCAmelCase__:  List[str]		       =   BarkCoarseGenerationConfig(**lowerCamelCase__	)
  						UpperCAmelCase__:  List[str]		       =   BarkFineGenerationConfig(**lowerCamelCase__	)
  
  						UpperCAmelCase__:  List[str]		       =   sample_rate
  						UpperCAmelCase__:  int		       =   codebook_size
  
  
  
  
  
  					@classmethod
  					def       _UpperCAmelCase						(							cls							,			lowerCamelCase__							,			lowerCamelCase__							,			lowerCamelCase__							,			**lowerCamelCase__							,			):
  						return cls(
  						    semantic_config=semantic_config.to_dict()							,			coarse_acoustics_config=coarse_acoustics_config.to_dict()							,			fine_acoustics_config=fine_acoustics_config.to_dict()							,			**lowerCamelCase__							,			)
  
  
  
  
  
  					def       _UpperCAmelCase						(							self	):
  						UpperCAmelCase__:  List[str]		       =   copy.deepcopy(self.__dict__	)
  
  						UpperCAmelCase__:  Tuple		       =   self.semantic_config.to_dict()
  						UpperCAmelCase__:  List[str]		       =   self.coarse_acoustics_config.to_dict()
  						UpperCAmelCase__:  Optional[int]		       =   self.fine_acoustics_config.to_dict()
  
  						UpperCAmelCase__:  List[Any]		       =   self.__class__.model_type
  						return output
style_context: 
  
  from __future__ import annotations
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	assert n > 1 and a > 0 and greatest_common_divisor(SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			) == 1
  	((UpperCAmelCase__)       ,	(UpperCAmelCase__)       ,	(UpperCAmelCase__)):  Optional[Any]		       =   extended_gcd(SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			)  # Implemented below
  	UpperCAmelCase__:  List[str]		       =   (b * s) % n
  	return x
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	((UpperCAmelCase__)       ,	(UpperCAmelCase__)):  int		       =   extended_euclid(SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			)  # Implemented below
  	if b < 0:
  		UpperCAmelCase__:  List[str]		       =   (b % n + n) % n
  	return b
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	UpperCAmelCase__:  Union[str, Any]		       =   invert_modulo(SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			)
  	UpperCAmelCase__:  Any		       =   (b * s) % n
  	return x
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	assert a >= 0 and b >= 0
  
  	if b == 0:
  		UpperCAmelCase__       ,	UpperCAmelCase__       ,	UpperCAmelCase__:  List[Any]		       =   a, 1, 0
  	else:
  		((UpperCAmelCase__)       ,	(UpperCAmelCase__)       ,	(UpperCAmelCase__)):  Tuple		       =   extended_gcd(SCREAMING_SNAKE_CASE  ,a % b			)
  		UpperCAmelCase__:  Union[str, Any]		       =   q
  		UpperCAmelCase__:  Union[str, Any]		       =   p - q * (a // b)
  
  	assert a % d == 0 and b % d == 0
  	assert d == a * x + b * y
  
  	return (d, x, y)
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	if b == 0:
  		return (1, 0)
  	((UpperCAmelCase__)       ,	(UpperCAmelCase__)):  List[str]		       =   extended_euclid(SCREAMING_SNAKE_CASE  ,a % b			)
  	UpperCAmelCase__:  Optional[Any]		       =   a // b
  	return (y, x - k * y)
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			):
  	if a < b:
  		UpperCAmelCase__       ,	UpperCAmelCase__:  str		       =   b, a
  
  	while a % b != 0:
  		UpperCAmelCase__       ,	UpperCAmelCase__:  Union[str, Any]		       =   b, a % b
  
  	return b
  
  
  if __name__ == "__main__":
  					from doctest import testmod
  
  					testmod(name="""modular_division""", verbose=True)
  					testmod(name="""modular_division2""", verbose=True)
  					testmod(name="""invert_modulo""", verbose=True)
  					testmod(name="""extended_gcd""", verbose=True)
  					testmod(name="""extended_euclid""", verbose=True)
  					testmod(name="""greatest_common_divisor""", verbose=True)