
import copy
from typing import Dict

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


snake_case_      :					List[Any]				      =     logging.get_logger(__name__)





class 		__lowerCamelCase     (   snake_case__		):
							lowerCamelCase__:				Dict      =							'''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	,				)						->     Dict:






								"""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:					Optional[Any] 						=     text_encoding_offset
								UpperCAmelCase:					Dict 						=     text_pad_token
								UpperCAmelCase:					int 						=     eos_token_id
								UpperCAmelCase:					Optional[Any] 						=     semantic_infer_token
								UpperCAmelCase:					Union[str, Any] 						=     semantic_vocab_size
								UpperCAmelCase:					str 						=     max_input_semantic_length
								UpperCAmelCase:					int 						=     semantic_rate_hz





class 		__lowerCamelCase     (   snake_case__		):
							lowerCamelCase__:				Dict      =							'''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	,				)						->     Any:






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





class 		__lowerCamelCase     (   snake_case__		):
							lowerCamelCase__:				int      =							'''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	,				)						->     Tuple:






								"""simple docstring"""



								super().__init__(temperature=__snake_case							)

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





class 		__lowerCamelCase     (   snake_case__		):
							lowerCamelCase__:				Tuple      =							'''bark'''
							lowerCamelCase__:				Any      =							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	,				)						->     int:






								"""simple docstring"""



								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:					Union[str, Any] 						=     {}
									logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."							)

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

								UpperCAmelCase:					Union[str, Any] 						=     BarkSemanticGenerationConfig(**__snake_case							)
								UpperCAmelCase:					Optional[Any] 						=     BarkCoarseGenerationConfig(**__snake_case							)
								UpperCAmelCase:					Optional[Any] 						=     BarkFineGenerationConfig(**__snake_case							)

								UpperCAmelCase:					Dict 						=     sample_rate
								UpperCAmelCase:					Union[str, Any] 						=     codebook_size



							@classmethod
							def     A__ (     cls	,				__snake_case	,				__snake_case	,				__snake_case	,				**__snake_case	,				)						->     List[str]:






								"""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     A__ (     self							)						->     Optional[int]:






								"""simple docstring"""



								UpperCAmelCase:					List[str] 						=     copy.deepcopy(self.__dict__							)

								UpperCAmelCase:					Optional[Any] 						=     self.semantic_config.to_dict()
								UpperCAmelCase:					Optional[Any] 						=     self.coarse_acoustics_config.to_dict()
								UpperCAmelCase:					Optional[int] 						=     self.fine_acoustics_config.to_dict()

								UpperCAmelCase:					Union[str, Any] 						=     self.__class__.model_type
								return output








def __A       ( __lowerCAmelCase = 100					,						__lowerCAmelCase = 100      )->    int:





						"""simple docstring"""



						return max(
						    sum(int(__lowerCAmelCase      ) for x in str(base**power      )      )
						    for base in range(__lowerCAmelCase      )
						    for power in range(__lowerCAmelCase      )      )


# Tests
if __name__ == "__main__":
		import doctest

		doctest.testmod()
