

import copy

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


_lowerCamelCase								=logging.get_logger(__name__)

_lowerCamelCase								={
    "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 		a_	(							lowerCamelCase_					):



      """simple docstring"""







      __UpperCAmelCase      		=				'musicgen_decoder'
      __UpperCAmelCase      		=				['past_key_values']
      def __init__(				self					:							Dict      ,snake_case					:							Any=2048      ,snake_case					:							Optional[Any]=2048      ,snake_case					:							Optional[Any]=24      ,snake_case					:							Optional[Any]=4096      ,snake_case					:							List[Any]=16      ,snake_case					:							Optional[Any]=0.0      ,snake_case					:							int=True      ,snake_case					:							List[str]="gelu"      ,snake_case					:							int=1024      ,snake_case					:							Optional[Any]=0.1      ,snake_case					:							Union[str, Any]=0.0      ,snake_case					:							Union[str, Any]=0.0      ,snake_case					:							str=0.02      ,snake_case					:							Dict=False      ,snake_case					:							int=4      ,snake_case					:							List[str]=2048      ,snake_case					:							List[str]=2048      ,snake_case					:							str=None      ,snake_case					:							Tuple=False      ,**snake_case					:							List[str]      ,):
           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=snake_case      ,bos_token_id=snake_case      ,eos_token_id=snake_case      ,tie_word_embeddings=snake_case      ,**snake_case      ,)







class 		a_	(							lowerCamelCase_					):



      """simple docstring"""







      __UpperCAmelCase      		=				'musicgen'
      __UpperCAmelCase      		=				True
      def __init__(				self					:							Optional[int]      ,**snake_case					:							Dict    ):
           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'    )

           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(snake_case      ,**snake_case    )
           SCREAMING_SNAKE_CASE										=AutoConfig.for_model(snake_case      ,**snake_case    )
           SCREAMING_SNAKE_CASE										=MusicgenDecoderConfig(**snake_case    )
           SCREAMING_SNAKE_CASE										=True
      @classmethod
      def 	_lowerCAmelCase					(				cls					:							int      ,snake_case					:							PretrainedConfig      ,snake_case					:							PretrainedConfig      ,snake_case					:							MusicgenDecoderConfig      ,**snake_case					:							Dict      ,):
           return cls(
               text_encoder=text_encoder_config.to_dict()      ,audio_encoder=audio_encoder_config.to_dict()      ,decoder=decoder_config.to_dict()      ,**snake_case      ,)


      def 	_lowerCAmelCase					(				self					:							str    ):
           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




def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										=len(lowerCAmelCase_      )
     for _ in range(
         0,   int(((no_of_elements - 1) / 2) + 1      )      ):  # we don't need to traverse to end of list as
          for j in range(0,   no_of_elements - 1      ):
               if (
                   lst[j + 1] < lst[j]
               ):  # applying bubble sort algorithm from left to right (or forwards)
                    SCREAMING_SNAKE_CASE										=lst[j + 1]
                    SCREAMING_SNAKE_CASE										=lst[j]
                    SCREAMING_SNAKE_CASE										=temp
               if (
                   lst[no_of_elements - 1 - j] < lst[no_of_elements - 2 - j]
               ):  # applying bubble sort algorithm from right to left (or backwards)
                    SCREAMING_SNAKE_CASE										=lst[no_of_elements - 1 - j]
                    SCREAMING_SNAKE_CASE										=lst[no_of_elements - 2 - j]
                    SCREAMING_SNAKE_CASE										=temp
     return lst


if __name__ == "__main__":
 print("enter the list to be sorted")
 _lowerCamelCase								=[int(x) for x in input().split()]  # inputing elements of the list in one line
 _lowerCamelCase								=double_sort(lst)
 print("the sorted list is")
 print(sorted_lst)

