

"""simple docstring"""




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__UpperCAmelCase	=			logging.get_logger(__name__)

__UpperCAmelCase	=			{
    'facebook/musicgen-small': 'https://huggingface.co/facebook/musicgen-small/resolve/main/config.json',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}







class        __lowercase     (      __lowerCamelCase   ):
  snake_case_			    =    """musicgen_decoder"""
  snake_case_			    =    ["""past_key_values"""]

  def __init__(					self						:     Tuple   ,A						:     Optional[int]=2_048   ,A						:     List[Any]=2_048   ,A						:     int=24   ,A						:     Dict=4_096   ,A						:     Optional[int]=16   ,A						:     Optional[int]=0.0   ,A						:     str=True   ,A						:     List[str]="gelu"   ,A						:     Dict=1_024   ,A						:     str=0.1   ,A						:     Any=0.0   ,A						:     Any=0.0   ,A						:     Optional[int]=0.0_2   ,A						:     int=False   ,A						:     List[str]=4   ,A						:     Union[str, Any]=2_048   ,A						:     List[Any]=2_048   ,A						:     int=None   ,A						:     int=False   ,**A						:     Optional[int]   ,):






   '''simple docstring'''
   UpperCAmelCase__   :					Union[str, Any]   				=   vocab_size
   UpperCAmelCase__   :					int   				=   max_position_embeddings
   UpperCAmelCase__   :					Optional[Any]   				=   hidden_size
   UpperCAmelCase__   :					Optional[int]   				=   ffn_dim
   UpperCAmelCase__   :					Tuple   				=   num_hidden_layers
   UpperCAmelCase__   :					List[str]   				=   num_attention_heads
   UpperCAmelCase__   :					List[Any]   				=   dropout
   UpperCAmelCase__   :					List[str]   				=   attention_dropout
   UpperCAmelCase__   :					Dict   				=   activation_dropout
   UpperCAmelCase__   :					List[str]   				=   activation_function
   UpperCAmelCase__   :					Any   				=   initializer_factor
   UpperCAmelCase__   :					Optional[Any]   				=   layerdrop
   UpperCAmelCase__   :					Optional[int]   				=   use_cache
   UpperCAmelCase__   :					Union[str, Any]   				=   scale_embedding  # scale factor will be sqrt(d_model) if True
   UpperCAmelCase__   :					Any   				=   num_codebooks
   super().__init__(
       pad_token_id=A   ,bos_token_id=A   ,eos_token_id=A   ,tie_word_embeddings=A   ,**A   ,)







class        __lowercase     (      __lowerCamelCase   ):
  snake_case_			    =    """musicgen"""
  snake_case_			    =    True

  def __init__(					self						:     Optional[int]   ,**A						:     List[Any]      ):






   '''simple docstring'''
   super().__init__(**A      )
   if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
    raise ValueError("""Config has to be initialized with text_encoder, audio_encoder and decoder config"""      )

   UpperCAmelCase__   :					List[Any]   				=   kwargs.pop("""text_encoder"""      )
   UpperCAmelCase__   :					str   				=   text_encoder_config.pop("""model_type"""      )

   UpperCAmelCase__   :					Any   				=   kwargs.pop("""audio_encoder"""      )
   UpperCAmelCase__   :					Tuple   				=   audio_encoder_config.pop("""model_type"""      )

   UpperCAmelCase__   :					Any   				=   kwargs.pop("""decoder"""      )

   UpperCAmelCase__   :					str   				=   AutoConfig.for_model(A   ,**A      )
   UpperCAmelCase__   :					Union[str, Any]   				=   AutoConfig.for_model(A   ,**A      )
   UpperCAmelCase__   :					Dict   				=   MusicgenDecoderConfig(**A      )
   UpperCAmelCase__   :					List[Any]   				=   True

  @classmethod
  def 				__lowercase    (					cls						:     Dict   ,A						:     PretrainedConfig   ,A						:     PretrainedConfig   ,A						:     MusicgenDecoderConfig   ,**A						:     Union[str, Any]   ,):






   '''simple docstring'''
   return cls(
       text_encoder=text_encoder_config.to_dict()   ,audio_encoder=audio_encoder_config.to_dict()   ,decoder=decoder_config.to_dict()   ,**A   ,)




  def 				__lowercase    (					self						:     int      ):






   '''simple docstring'''
   UpperCAmelCase__   :					str   				=   copy.deepcopy(self.__dict__      )
   UpperCAmelCase__   :					List[str]   				=   self.text_encoder.to_dict()
   UpperCAmelCase__   :					Dict   				=   self.audio_encoder.to_dict()
   UpperCAmelCase__   :					Any   				=   self.decoder.to_dict()
   UpperCAmelCase__   :					Tuple   				=   self.__class__.model_type
   return output








"""simple docstring"""




def 					lowerCAmelCase  (   __UpperCamelCase ):
 '''simple docstring'''





 UpperCAmelCase__   :					Union[str, Any]   				=   1
 UpperCAmelCase__   :					Union[str, Any]   				=   0
 UpperCAmelCase__   :					List[str]   				=   1
 UpperCAmelCase__   :					Any   				=   1
 UpperCAmelCase__   :					Optional[int]   				=   3
 UpperCAmelCase__   :					Any   				=   3
 UpperCAmelCase__   :					Optional[Any]   				=   limit
 UpperCAmelCase__   :					Dict   				=   0

 UpperCAmelCase__   :					int   				=   """"""
 while counter != decimal + 1:
  if 4 * q + r - t < n * t:
   result += str(__UpperCamelCase )
   if counter == 0:
    result += "."

   if decimal == counter:
    break

   counter += 1
   UpperCAmelCase__   :					Union[str, Any]   				=   10 * (r - n * t)
   UpperCAmelCase__   :					int   				=   ((10 * (3 * q + r)) // t) - 10 * n
   q *= 10
   UpperCAmelCase__   :					str   				=   nr
  else:
   UpperCAmelCase__   :					List[str]   				=   (2 * q + r) * l
   UpperCAmelCase__   :					Union[str, Any]   				=   (q * (7 * k) + 2 + (r * l)) // (t * l)
   q *= k
   t *= l
   l += 2
   k += 1
   UpperCAmelCase__   :					Optional[Any]   				=   nn
   UpperCAmelCase__   :					str   				=   nr
 return result
def 					lowerCAmelCase  (   ):
 '''simple docstring'''





 print(F"{calculate_pi(50 ) = }" )
 import doctest

 doctest.testmod()


if __name__ == "__main__":
      main()





