
'''simple docstring'''
import copy
from typing import Dict

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


lowercase__		    =	logging.get_logger(__name__)






class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		"""semantic"""



		def __init__(	self							:       Union[str, Any]   ,     UpperCamelCase__							:       Optional[Any]=1_0000   ,     UpperCamelCase__							:       Any=True   ,     UpperCamelCase__							:       Optional[Any]=768   ,     UpperCamelCase__							:       Union[str, Any]=False   ,     UpperCamelCase__							:       List[Any]=False   ,     UpperCamelCase__							:       Tuple=False   ,     UpperCamelCase__							:       Dict=False   ,     UpperCamelCase__							:       List[Any]=0.7   ,     UpperCamelCase__							:       Dict=True   ,     UpperCamelCase__							:       List[str]=1_0048   ,     UpperCamelCase__							:       str=12_9595   ,     UpperCamelCase__							:       int=12_9599   ,     UpperCamelCase__							:       Optional[Any]=1_0000   ,     UpperCamelCase__							:       Optional[Any]=256   ,     UpperCamelCase__							:       Dict=49.9   ,     **UpperCamelCase__							:       Any   ,     )		->       List[Any]:






				"""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__   ,     )

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







class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		"""coarse_acoustics"""



		def __init__(	self							:       Optional[Any]   ,     UpperCamelCase__							:       Dict=True   ,     UpperCamelCase__							:       Tuple=False   ,     UpperCamelCase__							:       str=False   ,     UpperCamelCase__							:       List[Any]=False   ,     UpperCamelCase__							:       Dict=False   ,     UpperCamelCase__							:       Any=0.7   ,     UpperCamelCase__							:       Any=True   ,     UpperCamelCase__							:       Union[str, Any]=1_2048   ,     UpperCamelCase__							:       Any=75   ,     UpperCamelCase__							:       Any=2   ,     UpperCamelCase__							:       str=1_2050   ,     UpperCamelCase__							:       Dict=256   ,     UpperCamelCase__							:       int = 630   ,     UpperCamelCase__							:       int = 60   ,     **UpperCamelCase__							:       Tuple   ,     )		->       str:






				"""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__   ,     )

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







class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		"""fine_acoustics"""



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






				"""simple docstring"""







				super().__init__(temperature=UpperCamelCase__	)

				snake_case   :    Optional[int]			       =		max_fine_history_length
				snake_case   :    Any			       =		max_fine_input_length
				snake_case   :    str			       =		n_fine_codebooks







class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		"""bark"""
		lowerCamelCase							=		True



		def __init__(	self							:       str   ,     UpperCamelCase__							:       Dict = None   ,     UpperCamelCase__							:       Dict = None   ,     UpperCamelCase__							:       Dict = None   ,     UpperCamelCase__							:       Dict=2_4000   ,     UpperCamelCase__							:       List[str]=1024   ,     **UpperCamelCase__							:       Optional[Any]   ,     )		->       int:






				"""simple docstring"""







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

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

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

				snake_case   :    Tuple			       =		BarkSemanticGenerationConfig(**UpperCamelCase__	)
				snake_case   :    Tuple			       =		BarkCoarseGenerationConfig(**UpperCamelCase__	)
				snake_case   :    Any			       =		BarkFineGenerationConfig(**UpperCamelCase__	)

				snake_case   :    Tuple			       =		sample_rate
				snake_case   :    List[Any]			       =		codebook_size



		@classmethod
		def 	lowerCAmelCase							(	cls							:       Any   ,     UpperCamelCase__							:       BarkSemanticGenerationConfig   ,     UpperCamelCase__							:       BarkCoarseGenerationConfig   ,     UpperCamelCase__							:       BarkFineGenerationConfig   ,     **UpperCamelCase__							:       Dict   ,     )		->       Tuple:






				"""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 	lowerCAmelCase							(	self							:       Dict	)		->       List[Any]:






				"""simple docstring"""







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

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

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










class   SCREAMING_SNAKE_CASE :





							"""simple docstring"""

							def __init__(     self:      Any      )			-> None:
												# numbermap keys are the number and its values are lists of indexes sorted
												# in ascending order
												_A									=       {}
												# indexmap keys are an index and it's values are the number at that index
												_A									=       {}

							def 					__A       (     self:      Any						,   __A:      list | str | range						,   __A:      int      )			-> list[int]:
												if isinstance(__A						,   (range, str)      ):
																	_A									=       list(__A      )
												elif not isinstance(__A						,   __A      ):
																	raise TypeError(
																	    '''binary_search_delete() only accepts either a list, range or str'''      )

												_A									=       0
												_A									=       len(__A      ) - 1

												while low <= high:
																	_A									=       (low + high) // 2
																	if array[mid] == item:
																						array.pop(__A      )
																						return array
																	elif array[mid] < item:
																						_A									=       mid + 1
																	else:
																						_A									=       mid - 1
												raise ValueError(
												    '''Either the item is not in the array or the array was unsorted'''      )

							def 					__A       (     self:      int						,   __A:      list | str | range						,   __A:      int      )			-> list[int]:
												if isinstance(__A						,   (range, str)      ):
																	_A									=       list(__A      )
												elif not isinstance(__A						,   __A      ):
																	raise TypeError(
																	    '''binary_search_insert() only accepts either a list, range or str'''      )

												_A									=       0
												_A									=       len(__A      ) - 1

												while low <= high:
																	_A									=       (low + high) // 2
																	if array[mid] == index:
																						# If the item already exists in the array,
																						# insert it after the existing item
																						array.insert(mid + 1						,   __A      )
																						return array
																	elif array[mid] < index:
																						_A									=       mid + 1
																	else:
																						_A									=       mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
												array.insert(__A						,   __A      )
												return array

							def 					__A       (     self:      Union[str, Any]						,   __A:      int						,   __A:      int      )			-> None:
												# Remove previous index
												if index in self.indexmap:
																	_A									=       self.indexmap[index]
																	if len(self.numbermap[n]      ) == 1:
																						del self.numbermap[n]
																	else:
																						_A									=       self.binary_search_delete(self.numbermap[n]						,   __A      )

        # Set new index
												_A									=       number

												# Number not seen before or empty so insert number value
												if number not in self.numbermap:
																	_A									=       [index]

												# Here we need to perform a binary search insertion in order to insert
												# The item in the correct place
												else:
																	_A									=       self.binary_search_insert(
																	    self.numbermap[number]						,   __A      )



							def 					__A       (     self:      List[Any]						,   __A:      int      )			-> int:
												return self.numbermap.get(__A						,   [-1]      )[0]


if __name__ == "__main__":
				import doctest

				doctest.testmod()



