
import copy
from typing import Dict

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


__lowerCamelCase								=					logging.get_logger(__name__)
class    _UpperCamelCase(   __lowercase				):
						__A:						Optional[Any]				   =      "semantic"

						def __init__(					self		:			int	,						_lowerCamelCase		:			Optional[Any]=1_00_00	,						_lowerCamelCase		:			int=True	,						_lowerCamelCase		:			int=7_68	,						_lowerCamelCase		:			List[Any]=False	,						_lowerCamelCase		:			int=False	,						_lowerCamelCase		:			Optional[int]=False	,						_lowerCamelCase		:			int=False	,						_lowerCamelCase		:			str=0.7	,						_lowerCamelCase		:			Any=True	,						_lowerCamelCase		:			Dict=1_00_48	,						_lowerCamelCase		:			Union[str, Any]=12_95_95	,						_lowerCamelCase		:			Any=12_95_99	,						_lowerCamelCase		:			Union[str, Any]=1_00_00	,						_lowerCamelCase		:			Optional[int]=2_56	,						_lowerCamelCase		:			str=49.9	,						**_lowerCamelCase		:			Union[str, Any]	,						):
													super().__init__(
													    temperature=A__	,						do_sample=A__	,						eos_token_id=A__	,						renormalize_logits=A__	,						max_new_tokens=A__	,						output_scores=A__	,						return_dict_in_generate=A__	,						output_hidden_states=A__	,						output_attentions=A__	,						**A__	,						)

													_UpperCAmelCase  :			Optional[int]	       =		text_encoding_offset
													_UpperCAmelCase  :			Tuple	       =		text_pad_token
													_UpperCAmelCase  :			int	       =		eos_token_id
													_UpperCAmelCase  :			Dict	       =		semantic_infer_token
													_UpperCAmelCase  :			Union[str, Any]	       =		semantic_vocab_size
													_UpperCAmelCase  :			List[Any]	       =		max_input_semantic_length
													_UpperCAmelCase  :			Any	       =		semantic_rate_hz







class    _UpperCamelCase(   __lowercase				):
						__A:						Dict				   =      "coarse_acoustics"

						def __init__(					self		:			int	,						_lowerCamelCase		:			Union[str, Any]=True	,						_lowerCamelCase		:			Dict=False	,						_lowerCamelCase		:			List[str]=False	,						_lowerCamelCase		:			Tuple=False	,						_lowerCamelCase		:			Tuple=False	,						_lowerCamelCase		:			Tuple=0.7	,						_lowerCamelCase		:			List[str]=True	,						_lowerCamelCase		:			Any=1_20_48	,						_lowerCamelCase		:			List[Any]=75	,						_lowerCamelCase		:			Any=2	,						_lowerCamelCase		:			List[Any]=1_20_50	,						_lowerCamelCase		:			Dict=2_56	,						_lowerCamelCase		:			int = 6_30	,						_lowerCamelCase		:			int = 60	,						**_lowerCamelCase		:			Dict	,						):
													super().__init__(
													    temperature=A__	,						do_sample=A__	,						renormalize_logits=A__	,						output_scores=A__	,						return_dict_in_generate=A__	,						output_hidden_states=A__	,						output_attentions=A__	,						**A__	,						)

													_UpperCAmelCase  :			List[str]	       =		coarse_semantic_pad_token
													_UpperCAmelCase  :			Any	       =		coarse_rate_hz
													_UpperCAmelCase  :			Optional[int]	       =		n_coarse_codebooks
													_UpperCAmelCase  :			Tuple	       =		coarse_infer_token
													_UpperCAmelCase  :			str	       =		max_coarse_input_length
													_UpperCAmelCase  :			Any	       =		max_coarse_history
													_UpperCAmelCase  :			Any	       =		sliding_window_len







class    _UpperCamelCase(   __lowercase				):
						__A:						str				   =      "fine_acoustics"

						def __init__(					self		:			Union[str, Any]	,						_lowerCamelCase		:			str=0.5	,						_lowerCamelCase		:			List[str]=5_12	,						_lowerCamelCase		:			List[str]=10_24	,						_lowerCamelCase		:			List[str]=8	,						**_lowerCamelCase		:			List[str]	,						):
													super().__init__(temperature=A__			)

													_UpperCAmelCase  :			Any	       =		max_fine_history_length
													_UpperCAmelCase  :			Optional[Any]	       =		max_fine_input_length
													_UpperCAmelCase  :			List[str]	       =		n_fine_codebooks







class    _UpperCamelCase(   __lowercase				):
						__A:						Union[str, Any]				   =      "bark"
						__A:						List[Any]				   =      True

						def __init__(					self		:			Any	,						_lowerCamelCase		:			Dict = None	,						_lowerCamelCase		:			Dict = None	,						_lowerCamelCase		:			Dict = None	,						_lowerCamelCase		:			str=2_40_00	,						_lowerCamelCase		:			int=10_24	,						**_lowerCamelCase		:			Any	,						):
													if semantic_config is None:
																				_UpperCAmelCase  :			Optional[Any]	       =		{}
																				logger.info("semantic_config is None. initializing the semantic model with default values."			)

													if coarse_acoustics_config is None:
																				_UpperCAmelCase  :			List[Any]	       =		{}
																				logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."			)

													if fine_acoustics_config is None:
																				_UpperCAmelCase  :			List[str]	       =		{}
																				logger.info("fine_acoustics_config is None. initializing the fine model with default values."			)

													_UpperCAmelCase  :			Tuple	       =		BarkSemanticGenerationConfig(**A__			)
													_UpperCAmelCase  :			List[str]	       =		BarkCoarseGenerationConfig(**A__			)
													_UpperCAmelCase  :			List[Any]	       =		BarkFineGenerationConfig(**A__			)

													_UpperCAmelCase  :			Tuple	       =		sample_rate
													_UpperCAmelCase  :			int	       =		codebook_size

						@classmethod
						def 						a__ (					cls		:			List[Any]	,						_lowerCamelCase		:			BarkSemanticGenerationConfig	,						_lowerCamelCase		:			BarkCoarseGenerationConfig	,						_lowerCamelCase		:			BarkFineGenerationConfig	,						**_lowerCamelCase		:			str	,						):
													return cls(
													    semantic_config=semantic_config.to_dict()	,						coarse_acoustics_config=coarse_acoustics_config.to_dict()	,						fine_acoustics_config=fine_acoustics_config.to_dict()	,						**A__	,						)






						def 						a__ (					self		:			int			):
													_UpperCAmelCase  :			int	       =		copy.deepcopy(self.__dict__			)

													_UpperCAmelCase  :			Union[str, Any]	       =		self.semantic_config.to_dict()
													_UpperCAmelCase  :			List[str]	       =		self.coarse_acoustics_config.to_dict()
													_UpperCAmelCase  :			Dict	       =		self.fine_acoustics_config.to_dict()

													_UpperCAmelCase  :			str	       =		self.__class__.model_type
													return output







from __future__ import annotations



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  assert n > 1 and a > 0 and greatest_common_divisor(_UpperCamelCase					,			_UpperCamelCase	) == 1
  ((_snake_case),	(_snake_case),	(_snake_case))		=				extended_gcd(_UpperCamelCase					,			_UpperCamelCase	)  # Implemented below
  _snake_case		=				(b * s) % n
  return x



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  ((_snake_case),	(_snake_case))		=				extended_euclid(_UpperCamelCase					,			_UpperCamelCase	)  # Implemented below
  if b < 0:
    _snake_case		=				(b % n + n) % n
  return b



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  _snake_case		=				invert_modulo(_UpperCamelCase					,			_UpperCamelCase	)
  _snake_case		=				(b * s) % n
  return x



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      tuple[int, int, int]:



  """simple docstring"""






  assert a >= 0 and b >= 0

  if b == 0:
    _snake_case,	_snake_case,	_snake_case		=				a, 1, 0
  else:
    ((_snake_case),	(_snake_case),	(_snake_case))		=				extended_gcd(_UpperCamelCase					,			a % b	)
    _snake_case		=				q
    _snake_case		=				p - q * (a // b)

  assert a % d == 0 and b % d == 0
  assert d == a * x + b * y

  return (d, x, y)



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      tuple[int, int]:



  """simple docstring"""






  if b == 0:
    return (1, 0)
  ((_snake_case),	(_snake_case))		=				extended_euclid(_UpperCamelCase					,			a % b	)
  _snake_case		=				a // b
  return (y, x - k * y)



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  if a < b:
    _snake_case,	_snake_case		=				b, a

  while a % b != 0:
    _snake_case,	_snake_case		=				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)

