



import copy
from typing import Dict

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


UpperCAmelCase__			:   Any      			=    logging.get_logger(__name__)





class 							lowerCAmelCase_		(		lowercase_     ):
		SCREAMING_SNAKE_CASE_       :			Any					       =	"""semantic"""







		def __init__(    self  :   Optional[Any]       ,		UpperCAmelCase_  :   str=10000       ,		UpperCAmelCase_  :   Optional[Any]=True       ,		UpperCAmelCase_  :   Optional[int]=768       ,		UpperCAmelCase_  :   int=False       ,		UpperCAmelCase_  :   int=False       ,		UpperCAmelCase_  :   Optional[int]=False       ,		UpperCAmelCase_  :   List[Any]=False       ,		UpperCAmelCase_  :   str=0.7       ,		UpperCAmelCase_  :   List[str]=True       ,		UpperCAmelCase_  :   int=10048       ,		UpperCAmelCase_  :   Tuple=129595       ,		UpperCAmelCase_  :   Any=129599       ,		UpperCAmelCase_  :   List[str]=10000       ,		UpperCAmelCase_  :   int=256       ,		UpperCAmelCase_  :   List[str]=49.9       ,		**UpperCAmelCase_  :   Union[str, Any]       ,		)       ->		Dict:


						'''simple docstring'''







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

						_UpperCAmelCase						:  Tuple     					=	text_encoding_offset
						_UpperCAmelCase						:  Optional[int]     					=	text_pad_token
						_UpperCAmelCase						:  Tuple     					=	eos_token_id
						_UpperCAmelCase						:  Optional[int]     					=	semantic_infer_token
						_UpperCAmelCase						:  int     					=	semantic_vocab_size
						_UpperCAmelCase						:  List[str]     					=	max_input_semantic_length
						_UpperCAmelCase						:  List[str]     					=	semantic_rate_hz





class 							lowerCAmelCase_		(		lowercase_     ):
		SCREAMING_SNAKE_CASE_       :			Optional[Any]					       =	"""coarse_acoustics"""







		def __init__(    self  :   Optional[Any]       ,		UpperCAmelCase_  :   Optional[Any]=True       ,		UpperCAmelCase_  :   Optional[Any]=False       ,		UpperCAmelCase_  :   Optional[Any]=False       ,		UpperCAmelCase_  :   Optional[int]=False       ,		UpperCAmelCase_  :   Tuple=False       ,		UpperCAmelCase_  :   List[str]=0.7       ,		UpperCAmelCase_  :   Dict=True       ,		UpperCAmelCase_  :   List[str]=12048       ,		UpperCAmelCase_  :   Union[str, Any]=75       ,		UpperCAmelCase_  :   Any=2       ,		UpperCAmelCase_  :   List[str]=12050       ,		UpperCAmelCase_  :   Optional[Any]=256       ,		UpperCAmelCase_  :   int = 630       ,		UpperCAmelCase_  :   int = 60       ,		**UpperCAmelCase_  :   List[str]       ,		)       ->		Tuple:


						'''simple docstring'''







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

						_UpperCAmelCase						:  int     					=	coarse_semantic_pad_token
						_UpperCAmelCase						:  Optional[int]     					=	coarse_rate_hz
						_UpperCAmelCase						:  Optional[Any]     					=	n_coarse_codebooks
						_UpperCAmelCase						:  Union[str, Any]     					=	coarse_infer_token
						_UpperCAmelCase						:  Dict     					=	max_coarse_input_length
						_UpperCAmelCase						:  Optional[Any]     					=	max_coarse_history
						_UpperCAmelCase						:  Tuple     					=	sliding_window_len





class 							lowerCAmelCase_		(		lowercase_     ):
		SCREAMING_SNAKE_CASE_       :			Tuple					       =	"""fine_acoustics"""







		def __init__(    self  :   Tuple       ,		UpperCAmelCase_  :   Dict=0.5       ,		UpperCAmelCase_  :   int=512       ,		UpperCAmelCase_  :   Optional[Any]=1024       ,		UpperCAmelCase_  :   List[str]=8       ,		**UpperCAmelCase_  :   List[str]       ,		)       ->		str:


						'''simple docstring'''







						super().__init__(temperature=UpperCAmelCase_					)

						_UpperCAmelCase						:  Optional[Any]     					=	max_fine_history_length
						_UpperCAmelCase						:  Union[str, Any]     					=	max_fine_input_length
						_UpperCAmelCase						:  Dict     					=	n_fine_codebooks





class 							lowerCAmelCase_		(		lowercase_     ):
		SCREAMING_SNAKE_CASE_       :			List[Any]					       =	"""bark"""
		SCREAMING_SNAKE_CASE_       :			Optional[Any]					       =	True







		def __init__(    self  :   Tuple       ,		UpperCAmelCase_  :   Dict = None       ,		UpperCAmelCase_  :   Dict = None       ,		UpperCAmelCase_  :   Dict = None       ,		UpperCAmelCase_  :   str=24000       ,		UpperCAmelCase_  :   Tuple=1024       ,		**UpperCAmelCase_  :   Dict       ,		)       ->		int:


						'''simple docstring'''







						if semantic_config is None:
										_UpperCAmelCase						:  List[Any]     					=	{}
										logger.info('''semantic_config is None. initializing the semantic model with default values.'''					)

						if coarse_acoustics_config is None:
										_UpperCAmelCase						:  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						:  Optional[Any]     					=	BarkSemanticGenerationConfig(**UpperCAmelCase_					)
						_UpperCAmelCase						:  Dict     					=	BarkCoarseGenerationConfig(**UpperCAmelCase_					)
						_UpperCAmelCase						:  int     					=	BarkFineGenerationConfig(**UpperCAmelCase_					)

						_UpperCAmelCase						:  str     					=	sample_rate
						_UpperCAmelCase						:  List[str]     					=	codebook_size







		@classmethod
		def 					a_  (    cls  :   Optional[Any]       ,		UpperCAmelCase_  :   BarkSemanticGenerationConfig       ,		UpperCAmelCase_  :   BarkCoarseGenerationConfig       ,		UpperCAmelCase_  :   BarkFineGenerationConfig       ,		**UpperCAmelCase_  :   List[Any]       ,		)       ->		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()       ,		**UpperCAmelCase_       ,		)







		def 					a_  (    self  :   Any					)       ->		List[str]:


						'''simple docstring'''







						_UpperCAmelCase						:  Optional[int]     					=	copy.deepcopy(self.__dict__					)

						_UpperCAmelCase						:  Optional[Any]     					=	self.semantic_config.to_dict()
						_UpperCAmelCase						:  Optional[int]     					=	self.coarse_acoustics_config.to_dict()
						_UpperCAmelCase						:  List[str]     					=	self.fine_acoustics_config.to_dict()

						_UpperCAmelCase						:  List[str]     					=	self.__class__.model_type
						return output





def 	_A	(   _UpperCamelCase			):
				if not isinstance(_UpperCamelCase      ,					_UpperCamelCase			):
								_UpperCAmelCase						:  List[Any]     					=	(
								    '''operation can not be conducted on a object of type '''
								    F'''{type(_UpperCamelCase			).__name__}'''
								)
								raise TypeError(_UpperCamelCase			)
				_UpperCAmelCase						:  List[str]     					=	''''''
				for _ in range(0      ,					32			):
								bit_string += str(number % 2			)
								_UpperCAmelCase						:  Union[str, Any]     					=	number >> 1
				return bit_string


def 	_A	(   _UpperCamelCase			):
				if number < 0:
								raise ValueError('''the value of input must be positive'''			)
				elif isinstance(_UpperCamelCase      ,					_UpperCamelCase			):
								raise TypeError('''Input value must be a \'int\' type'''			)
				elif isinstance(_UpperCamelCase      ,					_UpperCamelCase			):
								raise TypeError('''\'<\' not supported between instances of \'str\' and \'int\''''			)
				_UpperCAmelCase						:  Tuple     					=	0
				# iterator over [1 to 32],since we are dealing with 32 bit integer
				for _ in range(1      ,					33			):
								# left shift the bits by unity
								_UpperCAmelCase						:  List[str]     					=	result << 1
								# get the end bit
								_UpperCAmelCase						:  List[Any]     					=	number % 2
								# right shift the bits by unity
								_UpperCAmelCase						:  Optional[int]     					=	number >> 1
								# add that bit to our ans
								_UpperCAmelCase						:  Any     					=	result | end_bit
				return get_reverse_bit_string(_UpperCamelCase			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
