


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__(						snake_case__			):






      '''simple docstring'''







      snake_case__       =					'musicgen_decoder'
      snake_case__       =					['past_key_values']




      def __init__(		self   ,			__SCREAMING_SNAKE_CASE=20_48   ,			__SCREAMING_SNAKE_CASE=20_48   ,			__SCREAMING_SNAKE_CASE=24   ,			__SCREAMING_SNAKE_CASE=40_96   ,			__SCREAMING_SNAKE_CASE=16   ,			__SCREAMING_SNAKE_CASE=0.0   ,			__SCREAMING_SNAKE_CASE=True   ,			__SCREAMING_SNAKE_CASE="gelu"   ,			__SCREAMING_SNAKE_CASE=10_24   ,			__SCREAMING_SNAKE_CASE=0.1   ,			__SCREAMING_SNAKE_CASE=0.0   ,			__SCREAMING_SNAKE_CASE=0.0   ,			__SCREAMING_SNAKE_CASE=0.02   ,			__SCREAMING_SNAKE_CASE=False   ,			__SCREAMING_SNAKE_CASE=4   ,			__SCREAMING_SNAKE_CASE=20_48   ,			__SCREAMING_SNAKE_CASE=20_48   ,			__SCREAMING_SNAKE_CASE=None   ,			__SCREAMING_SNAKE_CASE=False   ,			**__SCREAMING_SNAKE_CASE   ,			)					->						Optional[Any]:







         """simple docstring"""







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




class 							lowercase__(						snake_case__			):






      '''simple docstring'''







      snake_case__       =					'musicgen'
      snake_case__       =					True




      def __init__(		self   ,			**__SCREAMING_SNAKE_CASE)					->						Dict:







         """simple docstring"""







         super().__init__(**_snake_case)
         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__ :			Dict 						=kwargs.pop("text_encoder")
         UpperCamelCase__ :			Union[str, Any] 						=text_encoder_config.pop("model_type")

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

         UpperCamelCase__ :			str 						=kwargs.pop("decoder")

         UpperCamelCase__ :			Optional[int] 						=AutoConfig.for_model(_snake_case   ,			**_snake_case)
         UpperCamelCase__ :			str 						=AutoConfig.for_model(_snake_case   ,			**_snake_case)
         UpperCamelCase__ :			Optional[Any] 						=MusicgenDecoderConfig(**_snake_case)
         UpperCamelCase__ :			Any 						=True




      @classmethod
      def    UpperCAmelCase							(		cls   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE   ,			**__SCREAMING_SNAKE_CASE   ,			)					->						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()   ,			**_snake_case   ,			)




      def    UpperCAmelCase							(		self)					->						Optional[Any]:







         """simple docstring"""







         UpperCamelCase__ :			Union[str, Any] 						=copy.deepcopy(self.__dict__)
         UpperCamelCase__ :			Optional[int] 						=self.text_encoder.to_dict()
         UpperCamelCase__ :			Optional[int] 						=self.audio_encoder.to_dict()
         UpperCamelCase__ :			int 						=self.decoder.to_dict()
         UpperCamelCase__ :			Union[str, Any] 						=self.__class__.model_type
         return output









from __future__ import annotations




def       _a   (							lowerCamelCase__				)  ->      list[int]:
 lowerCamelCase_							:    Any							=     [0] * max_one

 for i in range(0 ,			lowerCamelCase__				):
  lowerCamelCase_							:    Union[str, Any]							=     i

 for i in range(2 ,			lowerCamelCase__				):
  if totients[i] == i:
   for j in range(lowerCamelCase__ ,			lowerCamelCase__ ,			lowerCamelCase__				):
    totients[j] -= totients[j] // i

 return totients




def       _a   (							lowerCamelCase__ ,			lowerCamelCase__				)  ->      bool:
 return sorted(str(lowerCamelCase__				)				) == sorted(str(lowerCamelCase__				)				)




def       _a   (							lowerCamelCase__ = 10_00_00_00				)  ->      int:
 lowerCamelCase_							:    Tuple							=     1  # i
 lowerCamelCase_							:    Union[str, Any]							=     0  # φ(i)
 lowerCamelCase_							:    List[Any]							=     get_totients(max_n + 1				)

 for i in range(2 ,			max_n + 1				):
  lowerCamelCase_							:    Tuple							=     totients[i]

  if i * min_denominator < min_numerator * t and has_same_digits(lowerCamelCase__ ,			lowerCamelCase__				):
   lowerCamelCase_							:    str							=     i
   lowerCamelCase_							:    List[Any]							=     t

 return min_numerator


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