
"""simple docstring"""




import copy

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


snake_case					  =						logging.get_logger(__name__)

snake_case					  =						{
    '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 	UpperCamelCase      (			lowercase_ ):

				"""simple docstring"""



				UpperCAmelCase_							: Optional[int]		    =							"musicgen_decoder"
				UpperCAmelCase_							: Tuple		    =							["past_key_values"]


				def __init__(							self						,      lowercase__=2048						,      lowercase__=2048						,      lowercase__=24						,      lowercase__=4096						,      lowercase__=16						,      lowercase__=0.0						,      lowercase__=True						,      lowercase__="gelu"						,      lowercase__=1024						,      lowercase__=0.1						,      lowercase__=0.0						,      lowercase__=0.0						,      lowercase__=0.02						,      lowercase__=False						,      lowercase__=4						,      lowercase__=2048						,      lowercase__=2048						,      lowercase__=None						,      lowercase__=False						,      **lowercase__						,      )       ->       int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      vocab_size
									SCREAMING_SNAKE_CASE           =      max_position_embeddings
									SCREAMING_SNAKE_CASE           =      hidden_size
									SCREAMING_SNAKE_CASE           =      ffn_dim
									SCREAMING_SNAKE_CASE           =      num_hidden_layers
									SCREAMING_SNAKE_CASE           =      num_attention_heads
									SCREAMING_SNAKE_CASE           =      dropout
									SCREAMING_SNAKE_CASE           =      attention_dropout
									SCREAMING_SNAKE_CASE           =      activation_dropout
									SCREAMING_SNAKE_CASE           =      activation_function
									SCREAMING_SNAKE_CASE           =      initializer_factor
									SCREAMING_SNAKE_CASE           =      layerdrop
									SCREAMING_SNAKE_CASE           =      use_cache
									SCREAMING_SNAKE_CASE           =      scale_embedding  # scale factor will be sqrt(d_model) if True
									SCREAMING_SNAKE_CASE           =      num_codebooks
									super().__init__(
									    pad_token_id=UpperCAmelCase_						,      bos_token_id=UpperCAmelCase_						,      eos_token_id=UpperCAmelCase_						,      tie_word_embeddings=UpperCAmelCase_						,      **UpperCAmelCase_						,      )






class 	UpperCamelCase      (			lowercase_ ):

				"""simple docstring"""



				UpperCAmelCase_							: Optional[Any]		    =							"musicgen"
				UpperCAmelCase_							: Optional[Any]		    =							True


				def __init__(							self						,      **lowercase__     )       ->       Any:
									"""simple docstring"""







									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'     )

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

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

									SCREAMING_SNAKE_CASE           =      kwargs.pop('decoder'     )

									SCREAMING_SNAKE_CASE           =      AutoConfig.for_model(UpperCAmelCase_						,      **UpperCAmelCase_     )
									SCREAMING_SNAKE_CASE           =      AutoConfig.for_model(UpperCAmelCase_						,      **UpperCAmelCase_     )
									SCREAMING_SNAKE_CASE           =      MusicgenDecoderConfig(**UpperCAmelCase_     )
									SCREAMING_SNAKE_CASE           =      True


				@classmethod
				def 				A   (							cls						,      lowercase__						,      lowercase__						,      lowercase__						,      **lowercase__						,      )       ->       List[Any]:
									"""simple docstring"""







									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     )       ->       str:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      copy.deepcopy(self.__dict__     )
									SCREAMING_SNAKE_CASE           =      self.text_encoder.to_dict()
									SCREAMING_SNAKE_CASE           =      self.audio_encoder.to_dict()
									SCREAMING_SNAKE_CASE           =      self.decoder.to_dict()
									SCREAMING_SNAKE_CASE           =      self.__class__.model_type
									return output








"""simple docstring"""





UpperCamelCase					=     [chr(i) for i in range(32, 1_26)]
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(reversed(range(len(alphabets))))
UpperCamelCase					=     []
UpperCamelCase					=     UpperCamelCase					=     UpperCamelCase					=     0






def 							A(    ):
       """simple docstring"""





       global gear_one_pos
       global gear_two_pos
       global gear_three_pos
       lowercase__:							int         =     gear_one[0]
       gear_one.append(snake_case_						)
       del gear_one[0]
       gear_one_pos += 1
       if gear_one_pos % int(len(snake_case_						)						) == 0:
              lowercase__:							List[str]         =     gear_two[0]
              gear_two.append(snake_case_						)
              del gear_two[0]
              gear_two_pos += 1
              if gear_two_pos % int(len(snake_case_						)						) == 0:
                     lowercase__:							Dict         =     gear_three[0]
                     gear_three.append(snake_case_						)
                     del gear_three[0]
                     gear_three_pos += 1






def 							A(    snake_case_						):
       """simple docstring"""





       lowercase__:							List[Any]         =     alphabets.index(snake_case_						)
       lowercase__:							Dict         =     gear_one[target]
       lowercase__:							Tuple         =     gear_two[target]
       lowercase__:							str         =     gear_three[target]
       lowercase__:							Any         =     reflector[target]
       lowercase__:							Any         =     gear_three.index(snake_case_						)
       lowercase__:							Tuple         =     gear_two.index(snake_case_						)
       lowercase__:							Union[str, Any]         =     gear_one.index(snake_case_						)
       code.append(alphabets[target]						)
       rotator()


if __name__ == "__main__":
  UpperCamelCase					=     list(input("""Type your message:\n"""))
  while True:
    try:
      UpperCamelCase					=     int(input("""Please set token:(must be only digits)\n"""))
      break
    except Exception as error:
      print(error)
  for _ in range(token):
    rotator()
  for j in decode:
    engine(j)
  print("""\n""" + """""".join(code))
  print(
      F"\nYour Token is {token} please write it down.\nIf you want to decode "
      """this message again you should input same digits as token!"""
  )






