

import copy
from typing import Dict

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


_UpperCamelCase			       =			logging.get_logger(__name__)



class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE												=				"""semantic"""




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






  """simple docstring"""





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

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







class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE												=				"""coarse_acoustics"""




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






  """simple docstring"""





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

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







class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE												=				"""fine_acoustics"""




 def __init__(self       ,       __a=0.5       ,       __a=512       ,       __a=1024       ,       __a=8       ,       **__a       ,       ) ->					int:






  """simple docstring"""





  super().__init__(temperature=__a )

  UpperCAmelCase__							=				max_fine_history_length
  UpperCAmelCase__							=				max_fine_input_length
  UpperCAmelCase__							=				n_fine_codebooks







class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE												=				"""bark"""
 __SCREAMING_SNAKE_CASE												=				True




 def __init__(self       ,       __a = None       ,       __a = None       ,       __a = None       ,       __a=24000       ,       __a=1024       ,       **__a       ,       ) ->					Optional[Any]:






  """simple docstring"""





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

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

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

  UpperCAmelCase__							=				BarkSemanticGenerationConfig(**__a )
  UpperCAmelCase__							=				BarkCoarseGenerationConfig(**__a )
  UpperCAmelCase__							=				BarkFineGenerationConfig(**__a )

  UpperCAmelCase__							=				sample_rate
  UpperCAmelCase__							=				codebook_size




 @classmethod
 def   UpperCamelCase__							(cls       ,       __a       ,       __a       ,       __a       ,       **__a       ,       ) ->					List[str]:






  """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()       ,       **__a       ,       )




 def   UpperCamelCase__							(self ) ->					Optional[int]:






  """simple docstring"""





  UpperCAmelCase__							=				copy.deepcopy(self.__dict__ )

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

  UpperCAmelCase__							=				self.__class__.model_type
  return output










def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							str			):
		SCREAMING_SNAKE_CASE__								=					SCREAMING_SNAKE_CASE__								=					0
		for letter in data:
				SCREAMING_SNAKE_CASE__								=					(hash_ << 4) + ord(UpperCamelCase__			)
				SCREAMING_SNAKE_CASE__								=					hash_ & 0XF_0_0_0_0_0_0_0
				if x != 0:
						hash_ ^= x >> 24
				hash_ &= ~x
		return hash_


if __name__ == "__main__":
	import doctest

	doctest.testmod()