

import copy
from typing import Dict

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


UpperCamelCase__	:   Dict								=     logging.get_logger(__name__)



class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						List[str]    			=	'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=4_9.9    ,		**_A    ,		):
      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    ,		)

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






class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						Any    			=	'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    ,		):
      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    ,		)

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






class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						Optional[Any]    			=	'fine_acoustics'

  def __init__(       self    ,		_A=0.5    ,		_A=512    ,		_A=1024    ,		_A=8    ,		**_A    ,		):
      super().__init__(temperature=_A)

      SCREAMING_SNAKE_CASE_						=    max_fine_history_length
      SCREAMING_SNAKE_CASE_						=    max_fine_input_length
      SCREAMING_SNAKE_CASE_						=    n_fine_codebooks






class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						Union[str, Any]    			=	'bark'
  __lowerCAmelCase  :						Union[str, Any]    			=	True

  def __init__(       self    ,		_A = None    ,		_A = None    ,		_A = None    ,		_A=24000    ,		_A=1024    ,		**_A    ,		):
      if semantic_config is None:
          SCREAMING_SNAKE_CASE_						=    {}
          logger.info('semantic_config is None. initializing the semantic model with default values.')

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

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

      SCREAMING_SNAKE_CASE_						=    BarkSemanticGenerationConfig(**_A)
      SCREAMING_SNAKE_CASE_						=    BarkCoarseGenerationConfig(**_A)
      SCREAMING_SNAKE_CASE_						=    BarkFineGenerationConfig(**_A)

      SCREAMING_SNAKE_CASE_						=    sample_rate
      SCREAMING_SNAKE_CASE_						=    codebook_size

  @classmethod
  def     lowerCAmelCase__  (       cls    ,		_A    ,		_A    ,		_A    ,		**_A    ,		):
      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     lowerCAmelCase__  (       self):
      SCREAMING_SNAKE_CASE_						=    copy.deepcopy(self.__dict__)

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

      SCREAMING_SNAKE_CASE_						=    self.__class__.model_type
      return output





import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


UpperCamelCase__	:   Optional[Any]								=     logging.get_logger(__name__)



class    __snake_case	(     lowerCAmelCase__							):

  def __init__(       self    ,		*_A    ,		**_A):
      warnings.warn(
          'The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
          ' use ViltImageProcessor instead.'    ,		_A    ,		)
      super().__init__(*_A    ,		**_A)


