




import copy
from typing import Dict

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


__SCREAMING_SNAKE_CASE     : Dict      =logging.get_logger(__name__)






class       A      (		__A		):
     """simple docstring"""

     _snake_case:						Optional[Any]  ='semantic'




     def __init__(     self	: int						,	A__	: Dict=1_0_0_0_0						,	A__	: List[str]=True						,	A__	: Optional[Any]=7_6_8						,	A__	: Any=False						,	A__	: str=False						,	A__	: str=False						,	A__	: Tuple=False						,	A__	: Optional[int]=0.7						,	A__	: Optional[int]=True						,	A__	: Dict=1_0_0_4_8						,	A__	: Optional[int]=1_2_9_5_9_5						,	A__	: List[Any]=1_2_9_5_9_9						,	A__	: int=1_0_0_0_0						,	A__	: str=2_5_6						,	A__	: Optional[Any]=49.9						,	**A__	: Union[str, Any]						,	)					->							Any:
           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						,	)

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






class       A      (		__A		):
     """simple docstring"""

     _snake_case:						Any  ='coarse_acoustics'




     def __init__(     self	: Any						,	A__	: Optional[int]=True						,	A__	: str=False						,	A__	: Any=False						,	A__	: str=False						,	A__	: Dict=False						,	A__	: Tuple=0.7						,	A__	: Tuple=True						,	A__	: Tuple=1_2_0_4_8						,	A__	: int=7_5						,	A__	: Tuple=2						,	A__	: str=1_2_0_5_0						,	A__	: Optional[int]=2_5_6						,	A__	: Tuple = 6_3_0						,	A__	: Union[str, Any] = 6_0						,	**A__	: Dict						,	)					->							List[Any]:
           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						,	)

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






class       A      (		__A		):
     """simple docstring"""

     _snake_case:						Dict  ='fine_acoustics'




     def __init__(     self	: Any						,	A__	: List[str]=0.5						,	A__	: List[Any]=5_1_2						,	A__	: Optional[int]=1_0_2_4						,	A__	: int=8						,	**A__	: List[str]						,	)					->							List[Any]:
           super().__init__(temperature=__snake_case      )

           lowerCamelCase__   	=					max_fine_history_length
           lowerCamelCase__   	=					max_fine_input_length
           lowerCamelCase__   	=					n_fine_codebooks






class       A      (		__A		):
     """simple docstring"""

     _snake_case:						Tuple  ='bark'
     _snake_case:						List[str]  =True




     def __init__(     self	: Dict						,	A__	: str = None						,	A__	: int = None						,	A__	: Any = None						,	A__	: Union[str, Any]=2_4_0_0_0						,	A__	: int=1_0_2_4						,	**A__	: Union[str, Any]						,	)					->							Union[str, Any]:

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

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

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

           lowerCamelCase__   	=					BarkSemanticGenerationConfig(**__snake_case      )
           lowerCamelCase__   	=					BarkCoarseGenerationConfig(**__snake_case      )
           lowerCamelCase__   	=					BarkFineGenerationConfig(**__snake_case      )

           lowerCamelCase__   	=					sample_rate
           lowerCamelCase__   	=					codebook_size




     @classmethod
     def 			__snake_case (     cls	: List[Any]						,	A__	: List[Any]						,	A__	: List[str]						,	A__	: Optional[Any]						,	**A__	: int						,	)					->							Optional[Any]:
           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 			__snake_case (     self	: Union[str, Any]      )					->							Dict:
           lowerCamelCase__   	=					copy.deepcopy(self.__dict__      )

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

           lowerCamelCase__   	=					self.__class__.model_type
           return output






def  A					(				UpperCAmelCase					):
					if not isinstance(UpperCAmelCase	,	UpperCAmelCase					):
										_snake_case							:       Optional[Any]												= F"""Input value of [number={number}] must be an integer"""
										raise TypeError(UpperCAmelCase					)
					if number < 1:
										raise ValueError("Input must be a positive integer"					)
					return number * (2 * number - 1)


if __name__ == "__main__":
							import doctest

							doctest.testmod()