


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    lowerCamelCase__     ( lowerCAmelCase):
     SCREAMING_SNAKE_CASE__       =    '''musicgen_decoder'''
     SCREAMING_SNAKE_CASE__       =    ['''past_key_values''']





     def __init__(self	,  UpperCAmelCase=2_0_4_8	,  UpperCAmelCase=2_0_4_8	,  UpperCAmelCase=2_4	,  UpperCAmelCase=4_0_9_6	,  UpperCAmelCase=1_6	,  UpperCAmelCase=0.0	,  UpperCAmelCase=True	,  UpperCAmelCase="gelu"	,  UpperCAmelCase=1_0_2_4	,  UpperCAmelCase=0.1	,  UpperCAmelCase=0.0	,  UpperCAmelCase=0.0	,  UpperCAmelCase=0.02	,  UpperCAmelCase=False	,  UpperCAmelCase=4	,  UpperCAmelCase=2_0_4_8	,  UpperCAmelCase=2_0_4_8	,  UpperCAmelCase=None	,  UpperCAmelCase=False	,  **UpperCAmelCase	,  )  ->     Any:
      _lowercase							   =vocab_size
      _lowercase							   =max_position_embeddings
      _lowercase							   =hidden_size
      _lowercase							   =ffn_dim
      _lowercase							   =num_hidden_layers
      _lowercase							   =num_attention_heads
      _lowercase							   =dropout
      _lowercase							   =attention_dropout
      _lowercase							   =activation_dropout
      _lowercase							   =activation_function
      _lowercase							   =initializer_factor
      _lowercase							   =layerdrop
      _lowercase							   =use_cache
      _lowercase							   =scale_embedding  # scale factor will be sqrt(d_model) if True
      _lowercase							   =num_codebooks
      super().__init__(
          pad_token_id=UpperCAmelCase	,  bos_token_id=UpperCAmelCase	,  eos_token_id=UpperCAmelCase	,  tie_word_embeddings=UpperCAmelCase	,  **UpperCAmelCase	,  )







class    lowerCamelCase__     ( lowerCAmelCase):
     SCREAMING_SNAKE_CASE__       =    '''musicgen'''
     SCREAMING_SNAKE_CASE__       =    True





     def __init__(self	,  **UpperCAmelCase )  ->     str:
      super().__init__(**UpperCAmelCase )
      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''' )

      _lowercase							   =kwargs.pop('''text_encoder''' )
      _lowercase							   =text_encoder_config.pop('''model_type''' )

      _lowercase							   =kwargs.pop('''audio_encoder''' )
      _lowercase							   =audio_encoder_config.pop('''model_type''' )

      _lowercase							   =kwargs.pop('''decoder''' )

      _lowercase							   =AutoConfig.for_model(UpperCAmelCase	,  **UpperCAmelCase )
      _lowercase							   =AutoConfig.for_model(UpperCAmelCase	,  **UpperCAmelCase )
      _lowercase							   =MusicgenDecoderConfig(**UpperCAmelCase )
      _lowercase							   =True





     @classmethod
     def   __A      (cls	,  UpperCAmelCase	,  UpperCAmelCase	,  UpperCAmelCase	,  **UpperCAmelCase	,  )  ->     str:
      return cls(
          text_encoder=text_encoder_config.to_dict()	,  audio_encoder=audio_encoder_config.to_dict()	,  decoder=decoder_config.to_dict()	,  **UpperCAmelCase	,  )





     def   __A      (self )  ->     Optional[int]:
      _lowercase							   =copy.deepcopy(self.__dict__ )
      _lowercase							   =self.text_encoder.to_dict()
      _lowercase							   =self.audio_encoder.to_dict()
      _lowercase							   =self.decoder.to_dict()
      _lowercase							   =self.__class__.model_type
      return output





def        UpperCAmelCase_      (							__snake_case		)  ->    bool:







 """simple docstring"""


 if not isinstance(__snake_case  ,		__snake_case		):
  _lowercase							   =F"Input value of [number={number}] must be an integer"
  raise TypeError(__snake_case		)
 if number < 0 or number % 2 == 1:
  return False
 _lowercase							   =int(number**0.5		)
 return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
  import doctest

  doctest.testmod()

