'''simple docstring'''




import copy

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


__SCREAMING_SNAKE_CASE	:					List[str]					=  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE	:					Dict					=  {
    """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_     (snake_case__   ):
      '''simple docstring'''

      __UpperCamelCase:  Optional[int]      =						"musicgen_decoder"
      __UpperCamelCase:  Optional[Any]      =						["past_key_values"]




      def __init__(	self						:    int						, A						:    Union[str, Any]=2048						, A						:    Optional[Any]=2048						, A						:    Any=24						, A						:    List[str]=4096						, A						:    Optional[int]=16						, A						:    Optional[Any]=0.0						, A						:    List[str]=True						, A						:    Any="gelu"						, A						:    Optional[Any]=1024						, A						:    Optional[Any]=0.1						, A						:    Tuple=0.0						, A						:    List[Any]=0.0						, A						:    Dict=0.02						, A						:    int=False						, A						:    Tuple=4						, A						:    Tuple=2048						, A						:    Optional[int]=2048						, A						:    List[str]=None						, A						:    List[Any]=False						, **A						:    Dict						, ):
             _UpperCAmelCase					:  Dict											=   vocab_size
             _UpperCAmelCase					:  List[str]											=   max_position_embeddings
             _UpperCAmelCase					:  Optional[int]											=   hidden_size
             _UpperCAmelCase					:  int											=   ffn_dim
             _UpperCAmelCase					:  Any											=   num_hidden_layers
             _UpperCAmelCase					:  Tuple											=   num_attention_heads
             _UpperCAmelCase					:  Dict											=   dropout
             _UpperCAmelCase					:  Dict											=   attention_dropout
             _UpperCAmelCase					:  List[str]											=   activation_dropout
             _UpperCAmelCase					:  List[Any]											=   activation_function
             _UpperCAmelCase					:  Optional[Any]											=   initializer_factor
             _UpperCAmelCase					:  Dict											=   layerdrop
             _UpperCAmelCase					:  int											=   use_cache
             _UpperCAmelCase					:  List[str]											=   scale_embedding  # scale factor will be sqrt(d_model) if True
             _UpperCAmelCase					:  str											=   num_codebooks
             super().__init__(
                 pad_token_id=A						, bos_token_id=A						, eos_token_id=A						, tie_word_embeddings=A						, **A						, )

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

      __UpperCamelCase:  Tuple      =						"musicgen"
      __UpperCamelCase:  List[str]      =						True




      def __init__(	self						:    Tuple						, **A						:    str	):
             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					:  Any											=   kwargs.pop("text_encoder"	)
             _UpperCAmelCase					:  str											=   text_encoder_config.pop("model_type"	)

             _UpperCAmelCase					:  Tuple											=   kwargs.pop("audio_encoder"	)
             _UpperCAmelCase					:  str											=   audio_encoder_config.pop("model_type"	)

             _UpperCAmelCase					:  Optional[int]											=   kwargs.pop("decoder"	)

             _UpperCAmelCase					:  int											=   AutoConfig.for_model(A						, **A	)
             _UpperCAmelCase					:  Dict											=   AutoConfig.for_model(A						, **A	)
             _UpperCAmelCase					:  int											=   MusicgenDecoderConfig(**A	)
             _UpperCAmelCase					:  Any											=   True




      @classmethod
      def 					_A     (	cls						:    int						, A						:    PretrainedConfig						, A						:    PretrainedConfig						, A						:    MusicgenDecoderConfig						, **A						:    List[str]						, ):
             return cls(
                 text_encoder=text_encoder_config.to_dict()						, audio_encoder=audio_encoder_config.to_dict()						, decoder=decoder_config.to_dict()						, **A						, )





      def 					_A     (	self						:    int	):
             _UpperCAmelCase					:  Any											=   copy.deepcopy(self.__dict__	)
             _UpperCAmelCase					:  str											=   self.text_encoder.to_dict()
             _UpperCAmelCase					:  Any											=   self.audio_encoder.to_dict()
             _UpperCAmelCase					:  List[str]											=   self.decoder.to_dict()
             _UpperCAmelCase					:  Any											=   self.__class__.model_type
             return output


'''simple docstring'''




def      UpperCamelCase_							( _UpperCAmelCase  :				int   )   ->   bool:


       """simple docstring"""







       _UpperCAmelCase					:  Optional[int]											=   9

       while num > 0:
              if num % 10 != digit:
                     return False
              num //= 100
              digit -= 1

       return True

def      UpperCamelCase_							( )   ->   int:


       """simple docstring"""







       _UpperCAmelCase					:  Optional[Any]											=   138_902_663

       while not is_square_form(num * num   ):
              if num % 10 == 3:
                     num -= 6  # (3 - 6) % 10 = 7
              else:
                     num -= 4  # (7 - 4) % 10 = 3

       return num * 10


if __name__ == "__main__":
  print(F'{solution() = }')

