


'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Tuple		=     '''levit'''





     def __init__( self       :      Tuple    ,      UpperCAmelCase__       :      Optional[Any]=2_2_4    ,      UpperCAmelCase__       :      int=3    ,      UpperCAmelCase__       :      List[Any]=3    ,      UpperCAmelCase__       :      int=2    ,      UpperCAmelCase__       :      Any=1    ,      UpperCAmelCase__       :      Dict=1_6    ,      UpperCAmelCase__       :      int=[1_2_8, 2_5_6, 3_8_4]    ,      UpperCAmelCase__       :      str=[4, 8, 1_2]    ,      UpperCAmelCase__       :      Optional[int]=[4, 4, 4]    ,      UpperCAmelCase__       :      Optional[Any]=[1_6, 1_6, 1_6]    ,      UpperCAmelCase__       :      Any=0    ,      UpperCAmelCase__       :      Dict=[2, 2, 2]    ,      UpperCAmelCase__       :      List[str]=[2, 2, 2]    ,      UpperCAmelCase__       :      Dict=0.02    ,      **UpperCAmelCase__       :      Optional[int]    ,      )				->  Optional[Any]:
        super().__init__(**UpperCAmelCase__    )
        lowerCAmelCase     =			image_size
        lowerCAmelCase     =			num_channels
        lowerCAmelCase     =			kernel_size
        lowerCAmelCase     =			stride
        lowerCAmelCase     =			padding
        lowerCAmelCase     =			hidden_sizes
        lowerCAmelCase     =			num_attention_heads
        lowerCAmelCase     =			depths
        lowerCAmelCase     =			key_dim
        lowerCAmelCase     =			drop_path_rate
        lowerCAmelCase     =			patch_size
        lowerCAmelCase     =			attention_ratio
        lowerCAmelCase     =			mlp_ratio
        lowerCAmelCase     =			initializer_range
        lowerCAmelCase     =			[
            ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
            ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
        ]




class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	int		=     version.parse('''1.11'''		)





     @property
     def 							__UpperCAmelCase      ( self       :      List[str]    )				->  Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
            ]    )





     @property
     def 							__UpperCAmelCase      ( self       :      Dict    )				->  float:
        return 1E-4








"""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=',')




