

"""simple docstring"""





from ... import PretrainedConfig


_a       =							{
    'sijunhe/nezha-cn-base': 'https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json',
}




class 					_lowerCAmelCase  (	lowercase   ):







 """simple docstring"""







 __UpperCAmelCase	:					Optional[Any]   		=	NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
 __UpperCAmelCase	:					Optional[Any]   		=	"nezha"


 def __init__(			self							:			Tuple,					UpperCAmelCase__							:			List[Any]=2_1_1_2_8,					UpperCAmelCase__							:			Tuple=7_6_8,					UpperCAmelCase__							:			List[str]=1_2,					UpperCAmelCase__							:			List[Any]=1_2,					UpperCAmelCase__							:			str=3_0_7_2,					UpperCAmelCase__							:			str="gelu",					UpperCAmelCase__							:			Dict=0.1,					UpperCAmelCase__							:			int=0.1,					UpperCAmelCase__							:			List[str]=5_1_2,					UpperCAmelCase__							:			List[Any]=6_4,					UpperCAmelCase__							:			Optional[int]=2,					UpperCAmelCase__							:			str=0.02,					UpperCAmelCase__							:			Optional[int]=1E-12,					UpperCAmelCase__							:			int=0.1,					UpperCAmelCase__							:			str=0,					UpperCAmelCase__							:			Optional[Any]=2,					UpperCAmelCase__							:			List[Any]=3,					UpperCAmelCase__							:			str=True,					**UpperCAmelCase__							:			int,					):
    super().__init__(pad_token_id=UpperCAmelCase__,					bos_token_id=UpperCAmelCase__,					eos_token_id=UpperCAmelCase__,					**UpperCAmelCase__	)

    __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								=						max_relative_position
    __lowercase								=						type_vocab_size
    __lowercase								=						initializer_range
    __lowercase								=						layer_norm_eps
    __lowercase								=						classifier_dropout
    __lowercase								=						use_cache







"""simple docstring"""





def   _A  (  UpperCamelCase_     :       Any)	->						List[str]:
   '''simple docstring'''


   __lowercase		,__lowercase								=						[], []
   while len(UpperCamelCase_) > 1:
      __lowercase		,__lowercase								=						min(UpperCamelCase_), max(UpperCamelCase_)
      start.append(UpperCamelCase_)
      end.append(UpperCamelCase_)
      collection.remove(UpperCamelCase_)
      collection.remove(UpperCamelCase_)
   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=',')




