




import copy
from typing import Dict

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


__a  :		str		     =   logging.get_logger(__name__)







class 				UpperCAmelCase(					UpperCAmelCase__					):



	"""simple docstring"""






	a     : List[Any]	  =					"""semantic"""

	def __init__(					self	,				lowerCamelCase=10000	,				lowerCamelCase=True	,				lowerCamelCase=768	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=0.7	,				lowerCamelCase=True	,				lowerCamelCase=10048	,				lowerCamelCase=129595	,				lowerCamelCase=129599	,				lowerCamelCase=10000	,				lowerCamelCase=256	,				lowerCamelCase=49.9	,				**lowerCamelCase	,				) ->      Any:





								"""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	,				)

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







class 				UpperCAmelCase(					UpperCAmelCase__					):



	"""simple docstring"""






	a     : int	  =					"""coarse_acoustics"""

	def __init__(					self	,				lowerCamelCase=True	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=False	,				lowerCamelCase=0.7	,				lowerCamelCase=True	,				lowerCamelCase=12048	,				lowerCamelCase=75	,				lowerCamelCase=2	,				lowerCamelCase=12050	,				lowerCamelCase=256	,				lowerCamelCase = 630	,				lowerCamelCase = 60	,				**lowerCamelCase	,				) ->      Any:





								"""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	,				)

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







class 				UpperCAmelCase(					UpperCAmelCase__					):



	"""simple docstring"""






	a     : List[Any]	  =					"""fine_acoustics"""

	def __init__(					self	,				lowerCamelCase=0.5	,				lowerCamelCase=512	,				lowerCamelCase=1024	,				lowerCamelCase=8	,				**lowerCamelCase	,				) ->      List[str]:





								"""simple docstring"""


								super().__init__(temperature=__lowercase    )

								lowercase__        =							max_fine_history_length
								lowercase__        =							max_fine_input_length
								lowercase__        =							n_fine_codebooks







class 				UpperCAmelCase(					UpperCAmelCase__					):



	"""simple docstring"""






	a     : int	  =					"""bark"""
	a     : Union[str, Any]	  =					True

	def __init__(					self	,				lowerCamelCase = None	,				lowerCamelCase = None	,				lowerCamelCase = None	,				lowerCamelCase=24000	,				lowerCamelCase=1024	,				**lowerCamelCase	,				) ->      Any:





								"""simple docstring"""


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

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

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

								lowercase__        =							BarkSemanticGenerationConfig(**__lowercase    )
								lowercase__        =							BarkCoarseGenerationConfig(**__lowercase    )
								lowercase__        =							BarkFineGenerationConfig(**__lowercase    )

								lowercase__        =							sample_rate
								lowercase__        =							codebook_size

	@classmethod
	def    __a     (					cls	,				lowerCamelCase	,				lowerCamelCase	,				lowerCamelCase	,				**lowerCamelCase	,				) ->      List[Any]:





								"""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    ) ->      int:





								"""simple docstring"""


								lowercase__        =							copy.deepcopy(self.__dict__    )

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

								lowercase__        =							self.__class__.model_type
								return output





def  snake_case_					(		)      ->			int:

							for a in range(3_00    ):
														for b in range(a + 1    ,4_00    ):
																					for c in range(b + 1    ,5_00    ):
																												if (a + b + c) == 10_00 and (a**2) + (b**2) == (c**2):
																																			return a * b * c

							return -1
def  snake_case_					(		)      ->			int:

							for a in range(3_00    ):
														for b in range(4_00    ):
																					lowercase__  :	Dict        =							10_00 - a - b
																					if a < b < c and (a**2) + (b**2) == (c**2):
																												return a * b * c

							return -1
def  snake_case_					(		)      ->			None:
							import timeit

							print(
							    timeit.timeit("solution()"    ,setup="from __main__ import solution"    ,number=10_00    )    )
							print(
							    timeit.timeit(
							        "solution_fast()"    ,setup="from __main__ import solution_fast"    ,number=10_00    )    )


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