




'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_			      =		logging.get_logger(__name__)

A_			      =		{
    "microsoft/trocr-base-handwritten": (
        "https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}






class        lowercase_      (						lowerCAmelCase_							):
     A_											=			"trocr"
     A_											=			["past_key_values"]
     A_											=			{
         "num_attention_heads": "decoder_attention_heads",
         "hidden_size": "d_model",
         "num_hidden_layers": "decoder_layers",
     }





     def __init__(     self     :					Any     ,							__lowerCamelCase     :					Union[str, Any]=50265     ,							__lowerCamelCase     :					Optional[Any]=1024     ,							__lowerCamelCase     :					Union[str, Any]=12     ,							__lowerCamelCase     :					Dict=16     ,							__lowerCamelCase     :					List[Any]=4096     ,							__lowerCamelCase     :					str="gelu"     ,							__lowerCamelCase     :					Tuple=512     ,							__lowerCamelCase     :					List[Any]=0.1     ,							__lowerCamelCase     :					Optional[int]=0.0     ,							__lowerCamelCase     :					Optional[Any]=0.0     ,							__lowerCamelCase     :					Tuple=2     ,							__lowerCamelCase     :					List[str]=0.0_2     ,							__lowerCamelCase     :					Optional[Any]=0.0     ,							__lowerCamelCase     :					Optional[Any]=True     ,							__lowerCamelCase     :					Optional[Any]=False     ,							__lowerCamelCase     :					Union[str, Any]=True     ,							__lowerCamelCase     :					Optional[Any]=True     ,							__lowerCamelCase     :					str=1     ,							__lowerCamelCase     :					Dict=0     ,							__lowerCamelCase     :					int=2     ,							**__lowerCamelCase     :					Tuple     ,							):
           snake_case__       :   Any	      =    vocab_size
           snake_case__       :   Optional[int]	      =    d_model
           snake_case__       :   Optional[Any]	      =    decoder_layers
           snake_case__       :   Optional[Any]	      =    decoder_attention_heads
           snake_case__       :   Optional[int]	      =    decoder_ffn_dim
           snake_case__       :   str	      =    activation_function
           snake_case__       :   Dict	      =    max_position_embeddings
           snake_case__       :   Optional[int]	      =    dropout
           snake_case__       :   List[str]	      =    attention_dropout
           snake_case__       :   Union[str, Any]	      =    activation_dropout
           snake_case__       :   int	      =    init_std
           snake_case__       :   Any	      =    decoder_layerdrop
           snake_case__       :   List[str]	      =    use_cache
           snake_case__       :   int	      =    scale_embedding
           snake_case__       :   List[str]	      =    use_learned_position_embeddings
           snake_case__       :   Tuple	      =    layernorm_embedding

           super().__init__(
               pad_token_id=__lowerCamelCase     ,							bos_token_id=__lowerCamelCase     ,							eos_token_id=__lowerCamelCase     ,							decoder_start_token_id=__lowerCamelCase     ,							**__lowerCamelCase     ,							)






'''simple docstring'''






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE		)    ->   str:
      snake_case__      ,							snake_case__       :   Optional[int]	      =    [], []
      while len(__SCREAMING_SNAKE_CASE		) > 1:
            snake_case__      ,							snake_case__       :   Tuple	      =    min(__SCREAMING_SNAKE_CASE		), max(__SCREAMING_SNAKE_CASE		)
            start.append(__SCREAMING_SNAKE_CASE		)
            end.append(__SCREAMING_SNAKE_CASE		)
            collection.remove(__SCREAMING_SNAKE_CASE		)
            collection.remove(__SCREAMING_SNAKE_CASE		)
      end.reverse()
      return start + collection + end


if __name__ == "__main__":
      A_			      =		input("Enter numbers separated by a comma:\n").strip()
      A_			      =		[int(item) for item in user_input.split(",")]
      print(*merge_sort(unsorted), sep=",")
