





import copy
from typing import Dict

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


_UpperCamelCase       :				Any           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  lowerCamelCase__     	=       '''semantic'''

  def __init__(   self    ,							UpperCAmelCase=1_00_00    ,							UpperCAmelCase=True    ,							UpperCAmelCase=7_68    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=0.7    ,							UpperCAmelCase=True    ,							UpperCAmelCase=1_00_48    ,							UpperCAmelCase=12_95_95    ,							UpperCAmelCase=12_95_99    ,							UpperCAmelCase=1_00_00    ,							UpperCAmelCase=2_56    ,							UpperCAmelCase=49.9    ,							**UpperCAmelCase    ,							)->   Union[str, Any]:
     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    ,							)

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







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  lowerCamelCase__     	=       '''coarse_acoustics'''

  def __init__(   self    ,							UpperCAmelCase=True    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=False    ,							UpperCAmelCase=0.7    ,							UpperCAmelCase=True    ,							UpperCAmelCase=1_20_48    ,							UpperCAmelCase=75    ,							UpperCAmelCase=2    ,							UpperCAmelCase=1_20_50    ,							UpperCAmelCase=2_56    ,							UpperCAmelCase = 6_30    ,							UpperCAmelCase = 60    ,							**UpperCAmelCase    ,							)->   List[Any]:
     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    ,							)

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







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  lowerCamelCase__     	=       '''fine_acoustics'''

  def __init__(   self    ,							UpperCAmelCase=0.5    ,							UpperCAmelCase=5_12    ,							UpperCAmelCase=10_24    ,							UpperCAmelCase=8    ,							**UpperCAmelCase    ,							)->   Dict:
     super().__init__(temperature=UpperCAmelCase      )

     __A    =  max_fine_history_length
     __A    =  max_fine_input_length
     __A    =  n_fine_codebooks







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  lowerCamelCase__     	=       '''bark'''
  lowerCamelCase__     	=       True

  def __init__(   self    ,							UpperCAmelCase = None    ,							UpperCAmelCase = None    ,							UpperCAmelCase = None    ,							UpperCAmelCase=2_40_00    ,							UpperCAmelCase=10_24    ,							**UpperCAmelCase    ,							)->   str:
     if semantic_config is None:
        __A    =  {}
        logger.info('''semantic_config is None. initializing the semantic model with default values.'''      )

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

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

     __A    =  BarkSemanticGenerationConfig(**UpperCAmelCase      )
     __A    =  BarkCoarseGenerationConfig(**UpperCAmelCase      )
     __A    =  BarkFineGenerationConfig(**UpperCAmelCase      )

     __A    =  sample_rate
     __A    =  codebook_size

  @classmethod
  def 						SCREAMING_SNAKE_CASE__			(   cls    ,							UpperCAmelCase    ,							UpperCAmelCase    ,							UpperCAmelCase    ,							**UpperCAmelCase    ,							)->   Any:
     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 						SCREAMING_SNAKE_CASE__			(   self      )->   Tuple:
     __A    =  copy.deepcopy(self.__dict__      )

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

     __A    =  self.__class__.model_type
     return output








import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  def __init__(   self    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   None:
     warnings.warn(
         '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use DetrImageProcessor instead.'''    ,							UpperCAmelCase    ,							)
     super().__init__(*UpperCAmelCase    ,							**UpperCAmelCase      )

