
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_snake_case      :							Any     	=    logging.get_logger(__name__)

_snake_case      :							Optional[Any]     	=    {
    "facebook/data2vec-text-base": "https://huggingface.co/data2vec/resolve/main/config.json",
}





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						UpperCamelCase      :  Dict				   =					'''data2vec-text'''





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





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						@property
						def        SCREAMING_SNAKE_CASE(			self							:str     )  ->Mapping[str, Mapping[int, str]]:
										if self.task == "multiple-choice":
														lowercase         =      {0: "batch", 1: "choice", 2: "sequence"}
										else:
														lowercase         =      {0: "batch", 1: "sequence"}
										return OrderedDict(
										    [
										        ("input_ids", dynamic_axis),
										        ("attention_mask", dynamic_axis),
										    ]     )


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=",")
