





'''simple docstring'''

import copy
from typing import Dict

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


lowercase__		:    int =       logging.get_logger(__name__)
class        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Any		       =					'semantic'





       def __init__(							self     :	Optional[Any] ,				lowerCAmelCase__     :	int=10000 ,				lowerCAmelCase__     :	Dict=True ,				lowerCAmelCase__     :	Any=768 ,				lowerCAmelCase__     :	Optional[int]=False ,				lowerCAmelCase__     :	Optional[int]=False ,				lowerCAmelCase__     :	Any=False ,				lowerCAmelCase__     :	str=False ,				lowerCAmelCase__     :	Optional[Any]=0.7 ,				lowerCAmelCase__     :	Tuple=True ,				lowerCAmelCase__     :	Optional[Any]=10048 ,				lowerCAmelCase__     :	List[str]=129595 ,				lowerCAmelCase__     :	Optional[int]=129599 ,				lowerCAmelCase__     :	Optional[int]=10000 ,				lowerCAmelCase__     :	Tuple=256 ,				lowerCAmelCase__     :	List[str]=49.9 ,				**lowerCAmelCase__     :	List[str] ,				)					->  Any:

            '''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        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Dict		       =					'coarse_acoustics'





       def __init__(							self     :	Tuple ,				lowerCAmelCase__     :	Any=True ,				lowerCAmelCase__     :	Tuple=False ,				lowerCAmelCase__     :	Optional[Any]=False ,				lowerCAmelCase__     :	Dict=False ,				lowerCAmelCase__     :	Optional[int]=False ,				lowerCAmelCase__     :	Tuple=0.7 ,				lowerCAmelCase__     :	Any=True ,				lowerCAmelCase__     :	Any=12048 ,				lowerCAmelCase__     :	int=75 ,				lowerCAmelCase__     :	Union[str, Any]=2 ,				lowerCAmelCase__     :	Optional[Any]=12050 ,				lowerCAmelCase__     :	List[str]=256 ,				lowerCAmelCase__     :	int = 630 ,				lowerCAmelCase__     :	int = 60 ,				**lowerCAmelCase__     :	List[Any] ,				)					->  Optional[Any]:

            '''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        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  int		       =					'fine_acoustics'





       def __init__(							self     :	str ,				lowerCAmelCase__     :	int=0.5 ,				lowerCAmelCase__     :	Tuple=512 ,				lowerCAmelCase__     :	Dict=1024 ,				lowerCAmelCase__     :	int=8 ,				**lowerCAmelCase__     :	str ,				)					->  Optional[int]:

            '''simple docstring'''




            super().__init__(temperature=lowerCAmelCase__  )

            _UpperCamelCase       					= max_fine_history_length
            _UpperCamelCase       					= max_fine_input_length
            _UpperCamelCase       					= n_fine_codebooks

class        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Tuple		       =					'bark'
       _snake_case			:  List[str]		       =					True





       def __init__(							self     :	str ,				lowerCAmelCase__     :	Dict = None ,				lowerCAmelCase__     :	Dict = None ,				lowerCAmelCase__     :	Dict = None ,				lowerCAmelCase__     :	Optional[int]=24000 ,				lowerCAmelCase__     :	Dict=1024 ,				**lowerCAmelCase__     :	Optional[Any] ,				)					->  List[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(**lowerCAmelCase__  )
            _UpperCamelCase       					= BarkCoarseGenerationConfig(**lowerCAmelCase__  )
            _UpperCamelCase       					= BarkFineGenerationConfig(**lowerCAmelCase__  )

            _UpperCamelCase       					= sample_rate
            _UpperCamelCase       					= codebook_size





       @classmethod
       def snake_case__		(							cls     :	List[Any] ,				lowerCAmelCase__     :	BarkSemanticGenerationConfig ,				lowerCAmelCase__     :	BarkCoarseGenerationConfig ,				lowerCAmelCase__     :	BarkFineGenerationConfig ,				**lowerCAmelCase__     :	List[Any] ,				)					->  Tuple:

            '''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     :	List[Any]  )					->  Optional[Any]:

            '''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 inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax
@require_flax
class        __lowerCAmelCase  :






       """simple docstring"""





       def snake_case__		(							self     :	str  )					->  Any:

            '''simple docstring'''




            _UpperCamelCase					,       _UpperCamelCase       					= self.prepare_init_args_and_inputs_for_common()

            _UpperCamelCase       					= self.model_class(**lowerCAmelCase__  )
            _UpperCamelCase       					= model.init(inputs_dict['''prng_key'''] ,				inputs_dict['''sample''']  )
            jax.lax.stop_gradient(lowerCAmelCase__  )

            _UpperCamelCase       					= model.apply(lowerCAmelCase__ ,				inputs_dict['''sample''']  )

            if isinstance(lowerCAmelCase__ ,				lowerCAmelCase__  ):
                 _UpperCamelCase       					= output.sample

            self.assertIsNotNone(lowerCAmelCase__  )
            _UpperCamelCase       					= inputs_dict['''sample'''].shape
            self.assertEqual(output.shape ,				lowerCAmelCase__ ,				'''Input and output shapes do not match'''  )





       def snake_case__		(							self     :	Any  )					->  int:

            '''simple docstring'''




            _UpperCamelCase					,       _UpperCamelCase       					= self.prepare_init_args_and_inputs_for_common()

            _UpperCamelCase       					= 16
            _UpperCamelCase       					= (16, 32)

            _UpperCamelCase       					= self.model_class(**lowerCAmelCase__  )
            _UpperCamelCase       					= model.init(inputs_dict['''prng_key'''] ,				inputs_dict['''sample''']  )
            jax.lax.stop_gradient(lowerCAmelCase__  )

            _UpperCamelCase       					= model.apply(lowerCAmelCase__ ,				inputs_dict['''sample''']  )

            if isinstance(lowerCAmelCase__ ,				lowerCAmelCase__  ):
                 _UpperCamelCase       					= output.sample

            self.assertIsNotNone(lowerCAmelCase__  )
            _UpperCamelCase       					= inputs_dict['''sample'''].shape
            self.assertEqual(output.shape ,				lowerCAmelCase__ ,				'''Input and output shapes do not match'''  )







       def snake_case__		(							self     :	int  )					->  int:

            '''simple docstring'''




            _UpperCamelCase       					= '''kwargs''' in inspect.signature(self.model_class.__init__  ).parameters
            _UpperCamelCase       					= len(self.model_class._deprecated_kwargs  ) > 0

            if has_kwarg_in_model_class and not has_deprecated_kwarg:
                 raise ValueError(
                     f"""{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"""
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'''
                     ''' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='''
                     ''' [<deprecated_argument>]`'''  )

            if not has_kwarg_in_model_class and has_deprecated_kwarg:
                 raise ValueError(
                     f"""{self.model_class} doesn't have `**kwargs` in its __init__ method but has defined deprecated kwargs"""
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'''
                     f""" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"""
                     ''' from `_deprecated_kwargs = [<deprecated_argument>]`'''  )



