
"""simple docstring"""







import copy
from typing import Dict

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


SCREAMING_SNAKE_CASE_     				=   logging.get_logger(__name__)



class     __a			(					lowerCAmelCase_			):
       _lowerCamelCase							:							Union[str, Any]       =			'semantic'







       def __init__(					self							,lowerCamelCase_=1_0000							,lowerCamelCase_=True							,lowerCamelCase_=768							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=0.7							,lowerCamelCase_=True							,lowerCamelCase_=1_0048							,lowerCamelCase_=12_9595							,lowerCamelCase_=12_9599							,lowerCamelCase_=1_0000							,lowerCamelCase_=256							,lowerCamelCase_=49.9							,**lowerCamelCase_							,):



          '''simple docstring'''

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

          _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     __a			(					lowerCAmelCase_			):
       _lowerCamelCase							:							Optional[Any]       =			'coarse_acoustics'







       def __init__(					self							,lowerCamelCase_=True							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=False							,lowerCamelCase_=0.7							,lowerCamelCase_=True							,lowerCamelCase_=1_2048							,lowerCamelCase_=75							,lowerCamelCase_=2							,lowerCamelCase_=1_2050							,lowerCamelCase_=256							,lowerCamelCase_ = 630							,lowerCamelCase_ = 60							,**lowerCamelCase_							,):



          '''simple docstring'''

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

          _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     __a			(					lowerCAmelCase_			):
       _lowerCamelCase							:							Optional[int]       =			'fine_acoustics'







       def __init__(					self							,lowerCamelCase_=0.5							,lowerCamelCase_=512							,lowerCamelCase_=1024							,lowerCamelCase_=8							,**lowerCamelCase_							,):



          '''simple docstring'''

          super().__init__(temperature=lowerCamelCase_		)

          _UpperCAmelCase   	=					max_fine_history_length
          _UpperCAmelCase   	=					max_fine_input_length
          _UpperCAmelCase   	=					n_fine_codebooks



class     __a			(					lowerCAmelCase_			):
       _lowerCamelCase							:							Optional[int]       =			'bark'
       _lowerCamelCase							:							int       =			True







       def __init__(					self							,lowerCamelCase_ = None							,lowerCamelCase_ = None							,lowerCamelCase_ = None							,lowerCamelCase_=2_4000							,lowerCamelCase_=1024							,**lowerCamelCase_							,):



          '''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(**lowerCamelCase_		)
          _UpperCAmelCase   	=					BarkCoarseGenerationConfig(**lowerCamelCase_		)
          _UpperCAmelCase   	=					BarkFineGenerationConfig(**lowerCamelCase_		)

          _UpperCAmelCase   	=					sample_rate
          _UpperCAmelCase   	=					codebook_size







       @classmethod
       def    _snake_case			(					cls							,lowerCamelCase_							,lowerCamelCase_							,lowerCamelCase_							,**lowerCamelCase_							,):



          '''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()							,**lowerCamelCase_							,)







       def    _snake_case			(					self		):



          '''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



"""simple docstring"""







import warnings

from .generation import FlaxGenerationMixin






class     __a			(					lowerCAmelCase_			):
       # warning at import time
       warnings.warn(
           'Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will '
           'be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.'				,	lowerCAmelCase_				,	)

