


'''simple docstring'''







import copy
from typing import Dict

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


a__    :   Union[str, Any]								=			logging.get_logger(__name__)
class    lowercase_	(       lowerCamelCase__  ):
    __UpperCAmelCase       =      'semantic'


    def __init__(	self    ,   a=1_00_00    ,   a=True    ,   a=7_68    ,   a=False    ,   a=False    ,   a=False    ,   a=False    ,   a=0.7    ,   a=True    ,   a=1_00_48    ,   a=12_95_95    ,   a=12_95_99    ,   a=1_00_00    ,   a=2_56    ,   a=49.9    ,   **a    ,   ):
          super().__init__(
              temperature=__UpperCamelCase    ,   do_sample=__UpperCamelCase    ,   eos_token_id=__UpperCamelCase    ,   renormalize_logits=__UpperCamelCase    ,   max_new_tokens=__UpperCamelCase    ,   output_scores=__UpperCamelCase    ,   return_dict_in_generate=__UpperCamelCase    ,   output_hidden_states=__UpperCamelCase    ,   output_attentions=__UpperCamelCase    ,   **__UpperCamelCase    ,   )

          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_	(       lowerCamelCase__  ):
    __UpperCAmelCase       =      'coarse_acoustics'


    def __init__(	self    ,   a=True    ,   a=False    ,   a=False    ,   a=False    ,   a=False    ,   a=0.7    ,   a=True    ,   a=1_20_48    ,   a=75    ,   a=2    ,   a=1_20_50    ,   a=2_56    ,   a = 6_30    ,   a = 60    ,   **a    ,   ):
          super().__init__(
              temperature=__UpperCamelCase    ,   do_sample=__UpperCamelCase    ,   renormalize_logits=__UpperCamelCase    ,   output_scores=__UpperCamelCase    ,   return_dict_in_generate=__UpperCamelCase    ,   output_hidden_states=__UpperCamelCase    ,   output_attentions=__UpperCamelCase    ,   **__UpperCamelCase    ,   )

          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_	(       lowerCamelCase__  ):
    __UpperCAmelCase       =      'fine_acoustics'


    def __init__(	self    ,   a=0.5    ,   a=5_12    ,   a=10_24    ,   a=8    ,   **a    ,   ):
          super().__init__(temperature=__UpperCamelCase       )

          UpperCamelCase__      =							max_fine_history_length
          UpperCamelCase__      =							max_fine_input_length
          UpperCamelCase__      =							n_fine_codebooks

class    lowercase_	(       lowerCamelCase__  ):
    __UpperCAmelCase       =      'bark'
    __UpperCAmelCase       =      True


    def __init__(	self    ,   a = None    ,   a = None    ,   a = None    ,   a=2_40_00    ,   a=10_24    ,   **a    ,   ):
          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(**__UpperCamelCase       )
          UpperCamelCase__      =							BarkCoarseGenerationConfig(**__UpperCamelCase       )
          UpperCamelCase__      =							BarkFineGenerationConfig(**__UpperCamelCase       )

          UpperCamelCase__      =							sample_rate
          UpperCamelCase__      =							codebook_size


    @classmethod
    def   __a				(	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()    ,   **__UpperCamelCase    ,   )


    def   __a				(	self       ):
          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'''

def __UpperCamelCase (      __lowerCamelCase		:			float   ,	__lowerCamelCase		:			float   ,	__lowerCamelCase		:			float					)   ->  float:







     '''simple docstring'''






     if mass < 0:
          raise ValueError("The mass of the body cannot be negative"					)
     if radius <= 0:
          raise ValueError("The radius is always a positive non zero integer"					)
     return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)

