
import copy
from typing import Dict

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


__SCREAMING_SNAKE_CASE     :				str      	=       logging.get_logger(__name__)


class 						__magic_name__				(  UpperCAmelCase__      ):
		_lowerCAmelCase						=		"semantic"





		def __init__(							self      :		int  ,					lowerCamelCase__      :		Tuple=1_0_0_0_0  ,					lowerCamelCase__      :		List[str]=True  ,					lowerCamelCase__      :		List[str]=7_6_8  ,					lowerCamelCase__      :		Optional[Any]=False  ,					lowerCamelCase__      :		Any=False  ,					lowerCamelCase__      :		Tuple=False  ,					lowerCamelCase__      :		Dict=False  ,					lowerCamelCase__      :		Optional[int]=0.7  ,					lowerCamelCase__      :		int=True  ,					lowerCamelCase__      :		List[str]=1_0_0_4_8  ,					lowerCamelCase__      :		Optional[Any]=1_2_9_5_9_5  ,					lowerCamelCase__      :		Optional[Any]=1_2_9_5_9_9  ,					lowerCamelCase__      :		Optional[Any]=1_0_0_0_0  ,					lowerCamelCase__      :		Tuple=2_5_6  ,					lowerCamelCase__      :		int=4_9.9  ,					**lowerCamelCase__      :		str  ,					):
							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  ,					)

							lowerCAmelCase						:   Tuple							=       text_encoding_offset
							lowerCAmelCase						:   Tuple							=       text_pad_token
							lowerCAmelCase						:   Any							=       eos_token_id
							lowerCAmelCase						:   str							=       semantic_infer_token
							lowerCAmelCase						:   Tuple							=       semantic_vocab_size
							lowerCAmelCase						:   List[str]							=       max_input_semantic_length
							lowerCAmelCase						:   Tuple							=       semantic_rate_hz



class 						__magic_name__				(  UpperCAmelCase__      ):
		_lowerCAmelCase						=		"coarse_acoustics"





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

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



class 						__magic_name__				(  UpperCAmelCase__      ):
		_lowerCAmelCase						=		"fine_acoustics"





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

							lowerCAmelCase						:   List[str]							=       max_fine_history_length
							lowerCAmelCase						:   str							=       max_fine_input_length
							lowerCAmelCase						:   Union[str, Any]							=       n_fine_codebooks



class 						__magic_name__				(  UpperCAmelCase__      ):
		_lowerCAmelCase						=		"bark"
		_lowerCAmelCase						=		True





		def __init__(							self      :		int  ,					lowerCamelCase__      :		Dict = None  ,					lowerCamelCase__      :		Dict = None  ,					lowerCamelCase__      :		Dict = None  ,					lowerCamelCase__      :		Optional[Any]=2_4_0_0_0  ,					lowerCamelCase__      :		Optional[int]=1_0_2_4  ,					**lowerCamelCase__      :		Dict  ,					):






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

							if coarse_acoustics_config is None:
												lowerCAmelCase						:   List[str]							=       {}
												logger.info('''coarse_acoustics_config is None. initializing the coarse model with default values.'''			)

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

							lowerCAmelCase						:   int							=       BarkSemanticGenerationConfig(**__lowercase			)
							lowerCAmelCase						:   List[Any]							=       BarkCoarseGenerationConfig(**__lowercase			)
							lowerCAmelCase						:   int							=       BarkFineGenerationConfig(**__lowercase			)

							lowerCAmelCase						:   Any							=       sample_rate
							lowerCAmelCase						:   List[str]							=       codebook_size





		@classmethod
		def  _A							(							cls      :		Dict  ,					lowerCamelCase__      :		BarkSemanticGenerationConfig  ,					lowerCamelCase__      :		BarkCoarseGenerationConfig  ,					lowerCamelCase__      :		BarkFineGenerationConfig  ,					**lowerCamelCase__      :		Dict  ,					):
							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      :		Dict			):
							lowerCAmelCase						:   str							=       copy.deepcopy(self.__dict__			)

							lowerCAmelCase						:   Any							=       self.semantic_config.to_dict()
							lowerCAmelCase						:   List[Any]							=       self.coarse_acoustics_config.to_dict()
							lowerCAmelCase						:   Any							=       self.fine_acoustics_config.to_dict()

							lowerCAmelCase						:   Dict							=       self.__class__.model_type
							return output


def       UpperCAmelCase__							(    __magic_name__  :       int = 99_80_01					):


					'''simple docstring'''

					lowerCAmelCase						:   Tuple							=       0
					for i in range(9_99							,					99							,					-1					):  # 3 digit numbers range from 999 down to 100
										for j in range(9_99							,					99							,					-1					):
															lowerCAmelCase						:   Any							=       str(i * j					)
															if product_string == product_string[::-1] and i * j < n:
																				lowerCAmelCase						:   Optional[int]							=       max(__magic_name__							,					i * j					)
					return answer


if __name__ == "__main__":
		print(f"""{solution() = }""")
