import copy
from typing import Dict

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


__lowerCamelCase     :					List[str]				  =						logging.get_logger(__name__)







class __snake_case							(		lowerCamelCase_						):
   lowerCAmelCase_								=				"semantic"




   def __init__(       self     :							Any			,      _lowercase     :							int=1_00_00			,      _lowercase     :							str=True			,      _lowercase     :							Optional[Any]=7_68			,      _lowercase     :							int=False			,      _lowercase     :							str=False			,      _lowercase     :							Any=False			,      _lowercase     :							Optional[Any]=False			,      _lowercase     :							List[Any]=0.7			,      _lowercase     :							Dict=True			,      _lowercase     :							Tuple=1_00_48			,      _lowercase     :							List[Any]=12_95_95			,      _lowercase     :							Union[str, Any]=12_95_99			,      _lowercase     :							Tuple=1_00_00			,      _lowercase     :							List[Any]=2_56			,      _lowercase     :							List[Any]=49.9			,      **_lowercase     :							Optional[int]			,      ):



     """simple docstring"""






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

     SCREAMING_SNAKE_CASE__     				= text_encoding_offset
     SCREAMING_SNAKE_CASE__     				= text_pad_token
     SCREAMING_SNAKE_CASE__     				= eos_token_id
     SCREAMING_SNAKE_CASE__     				= semantic_infer_token
     SCREAMING_SNAKE_CASE__     				= semantic_vocab_size
     SCREAMING_SNAKE_CASE__     				= max_input_semantic_length
     SCREAMING_SNAKE_CASE__     				= semantic_rate_hz







class __snake_case							(		lowerCamelCase_						):
   lowerCAmelCase_								=				"coarse_acoustics"




   def __init__(       self     :							List[str]			,      _lowercase     :							int=True			,      _lowercase     :							Tuple=False			,      _lowercase     :							List[Any]=False			,      _lowercase     :							str=False			,      _lowercase     :							Optional[Any]=False			,      _lowercase     :							Optional[int]=0.7			,      _lowercase     :							Optional[int]=True			,      _lowercase     :							Any=1_20_48			,      _lowercase     :							List[str]=75			,      _lowercase     :							Dict=2			,      _lowercase     :							int=1_20_50			,      _lowercase     :							Union[str, Any]=2_56			,      _lowercase     :							int = 6_30			,      _lowercase     :							int = 60			,      **_lowercase     :							Tuple			,      ):



     """simple docstring"""






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

     SCREAMING_SNAKE_CASE__     				= coarse_semantic_pad_token
     SCREAMING_SNAKE_CASE__     				= coarse_rate_hz
     SCREAMING_SNAKE_CASE__     				= n_coarse_codebooks
     SCREAMING_SNAKE_CASE__     				= coarse_infer_token
     SCREAMING_SNAKE_CASE__     				= max_coarse_input_length
     SCREAMING_SNAKE_CASE__     				= max_coarse_history
     SCREAMING_SNAKE_CASE__     				= sliding_window_len







class __snake_case							(		lowerCamelCase_						):
   lowerCAmelCase_								=				"fine_acoustics"




   def __init__(       self     :							Tuple			,      _lowercase     :							int=0.5			,      _lowercase     :							str=5_12			,      _lowercase     :							Any=10_24			,      _lowercase     :							Tuple=8			,      **_lowercase     :							Dict			,      ):



     """simple docstring"""






     super().__init__(temperature=_lowercase )

     SCREAMING_SNAKE_CASE__     				= max_fine_history_length
     SCREAMING_SNAKE_CASE__     				= max_fine_input_length
     SCREAMING_SNAKE_CASE__     				= n_fine_codebooks







class __snake_case							(		lowerCamelCase_						):
   lowerCAmelCase_								=				"bark"
   lowerCAmelCase_								=				True




   def __init__(       self     :							Dict			,      _lowercase     :							Dict = None			,      _lowercase     :							Dict = None			,      _lowercase     :							Dict = None			,      _lowercase     :							Any=2_40_00			,      _lowercase     :							Optional[Any]=10_24			,      **_lowercase     :							str			,      ):



     """simple docstring"""






     if semantic_config is None:
       SCREAMING_SNAKE_CASE__     				= {}
       logger.info("""semantic_config is None. initializing the semantic model with default values.""" )

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

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

     SCREAMING_SNAKE_CASE__     				= BarkSemanticGenerationConfig(**_lowercase )
     SCREAMING_SNAKE_CASE__     				= BarkCoarseGenerationConfig(**_lowercase )
     SCREAMING_SNAKE_CASE__     				= BarkFineGenerationConfig(**_lowercase )

     SCREAMING_SNAKE_CASE__     				= sample_rate
     SCREAMING_SNAKE_CASE__     				= codebook_size




   @classmethod
   def       __a		(       cls     :							Union[str, Any]			,      _lowercase     :							BarkSemanticGenerationConfig			,      _lowercase     :							BarkCoarseGenerationConfig			,      _lowercase     :							BarkFineGenerationConfig			,      **_lowercase     :							Tuple			,      ):



     """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()			,      **_lowercase			,      )




   def       __a		(       self     :							str ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= copy.deepcopy(self.__dict__ )

     SCREAMING_SNAKE_CASE__     				= self.semantic_config.to_dict()
     SCREAMING_SNAKE_CASE__     				= self.coarse_acoustics_config.to_dict()
     SCREAMING_SNAKE_CASE__     				= self.fine_acoustics_config.to_dict()

     SCREAMING_SNAKE_CASE__     				= self.__class__.model_type
     return output

from __future__ import annotations



def       __SCREAMING_SNAKE_CASE    (   __UpperCamelCase       :			str      )				->   bool:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__     				= 42
  SCREAMING_SNAKE_CASE__     				= list(__UpperCamelCase      )
  SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__     				= _vector[:-1], int(_vector[-1]      )
  SCREAMING_SNAKE_CASE__     				= [int(__UpperCamelCase      ) for digit in __vector]

  vector.reverse()
  for i, digit in enumerate(__UpperCamelCase      ):
    if i & 1 == 0:
      SCREAMING_SNAKE_CASE__     				= digit * 2
      if doubled > 9:
        doubled -= 9
      check_digit += doubled
    else:
      check_digit += digit

  return check_digit % 10 == 0


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   assert is_luhn('''79927398713''')
   assert not is_luhn('''79927398714''')
