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


_snake_case      :							Any     	=    logging.get_logger(__name__)

_snake_case      :							int     	=    {
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						UpperCamelCase      :  int				   =					'''lilt'''





						def __init__(			self							:Optional[int]		,    lowerCAmelCase__							:str=30522		,    lowerCAmelCase__							:List[str]=768		,    lowerCAmelCase__							:List[str]=12		,    lowerCAmelCase__							:List[Any]=12		,    lowerCAmelCase__							:Tuple=3072		,    lowerCAmelCase__							:Any="gelu"		,    lowerCAmelCase__							:List[Any]=0.1		,    lowerCAmelCase__							:Any=0.1		,    lowerCAmelCase__							:Dict=512		,    lowerCAmelCase__							:Union[str, Any]=2		,    lowerCAmelCase__							:List[str]=0.02		,    lowerCAmelCase__							:Optional[Any]=1E-1_2		,    lowerCAmelCase__							:Optional[int]=0		,    lowerCAmelCase__							:List[str]="absolute"		,    lowerCAmelCase__							:Tuple=None		,    lowerCAmelCase__							:Optional[int]=4		,    lowerCAmelCase__							:Tuple=1024		,    **lowerCAmelCase__							:List[Any]		,    )  ->Optional[Any]:
										super().__init__(pad_token_id=lowerCAmelCase__		,    **lowerCAmelCase__     )

										lowercase         =      vocab_size
										lowercase         =      hidden_size
										lowercase         =      num_hidden_layers
										lowercase         =      num_attention_heads
										lowercase         =      hidden_act
										lowercase         =      intermediate_size
										lowercase         =      hidden_dropout_prob
										lowercase         =      attention_probs_dropout_prob
										lowercase         =      max_position_embeddings
										lowercase         =      type_vocab_size
										lowercase         =      initializer_range
										lowercase         =      layer_norm_eps
										lowercase         =      position_embedding_type
										lowercase         =      classifier_dropout
										lowercase         =      channel_shrink_ratio
										lowercase         =      max_ad_position_embeddings


def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				lowercase     ,	lowercase         =      [], []
				while len(__magic_name__						) > 1:
								lowercase     ,	lowercase         =      min(__magic_name__						), max(__magic_name__						)
								start.append(__magic_name__						)
								end.append(__magic_name__						)
								collection.remove(__magic_name__						)
								collection.remove(__magic_name__						)
				end.reverse()
				return start + collection + end


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