






import copy
from typing import Dict

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


lowerCamelCase					    =	logging.get_logger(__name__)

class        snake_case_				(							lowerCAmelCase__   ):







   """simple docstring"""



   __lowerCAmelCase  =    'semantic'

   def __init__(     self:						Tuple ,							snake_case__:						Dict=10_000 ,							snake_case__:						Tuple=True ,							snake_case__:						int=768 ,							snake_case__:						List[Any]=False ,							snake_case__:						Union[str, Any]=False ,							snake_case__:						Any=False ,							snake_case__:						Optional[Any]=False ,							snake_case__:						int=0.7 ,							snake_case__:						List[str]=True ,							snake_case__:						List[str]=10_048 ,							snake_case__:						Any=129_595 ,							snake_case__:						Optional[int]=129_599 ,							snake_case__:						int=10_000 ,							snake_case__:						str=256 ,							snake_case__:						Any=49.9 ,							**snake_case__:						str ,							)	->		str:


       """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 ,							)

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






class        snake_case_				(							lowerCAmelCase__   ):







   """simple docstring"""



   __lowerCAmelCase  =    'coarse_acoustics'

   def __init__(     self:						Optional[int] ,							snake_case__:						Optional[Any]=True ,							snake_case__:						Dict=False ,							snake_case__:						List[Any]=False ,							snake_case__:						str=False ,							snake_case__:						Dict=False ,							snake_case__:						List[Any]=0.7 ,							snake_case__:						Dict=True ,							snake_case__:						Union[str, Any]=12_048 ,							snake_case__:						Any=75 ,							snake_case__:						str=2 ,							snake_case__:						str=12_050 ,							snake_case__:						Optional[Any]=256 ,							snake_case__:						str = 630 ,							snake_case__:						Tuple = 60 ,							**snake_case__:						Optional[int] ,							)	->		Optional[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 ,							)

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






class        snake_case_				(							lowerCAmelCase__   ):







   """simple docstring"""



   __lowerCAmelCase  =    'fine_acoustics'

   def __init__(     self:						Dict ,							snake_case__:						Optional[int]=0.5 ,							snake_case__:						Dict=512 ,							snake_case__:						List[str]=1_024 ,							snake_case__:						List[str]=8 ,							**snake_case__:						List[Any] ,							)	->		str:


       """simple docstring"""



       super().__init__(temperature=_A						)

       _lowercase     			=						max_fine_history_length
       _lowercase     			=						max_fine_input_length
       _lowercase     			=						n_fine_codebooks






class        snake_case_				(							lowerCAmelCase__   ):







   """simple docstring"""



   __lowerCAmelCase  =    'bark'
   __lowerCAmelCase  =    True

   def __init__(     self:						str ,							snake_case__:						List[str] = None ,							snake_case__:						Optional[int] = None ,							snake_case__:						str = None ,							snake_case__:						str=24_000 ,							snake_case__:						Tuple=1_024 ,							**snake_case__:						Tuple ,							)	->		Optional[Any]:


       """simple docstring"""



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

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

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

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

       _lowercase     			=						sample_rate
       _lowercase     			=						codebook_size

   @classmethod
   def       SCREAMING_SNAKE_CASE__					(     cls:						Optional[Any] ,							snake_case__:						int ,							snake_case__:						Tuple ,							snake_case__:						int ,							**snake_case__:						List[str] ,							)	->		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() ,							**_A ,							)

   def       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		Optional[Any]:


       """simple docstring"""



       _lowercase     			=						copy.deepcopy(self.__dict__						)

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

       _lowercase     			=						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)


