'''simple docstring'''





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


SCREAMING_SNAKE_CASE_:	Tuple    =logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_:	Tuple    ={
    'Visual-Attention-Network/van-base': (
        'https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json'
    ),
}




class 			__A (					UpperCamelCase__      ):
    a__			:		Optional[Any]			  =    """van"""



    def __init__(self       :       List[Any]  ,     __a       :       Tuple=224  ,     __a       :       Any=3  ,     __a       :       Any=[7, 3, 3, 3]  ,     __a       :       Optional[int]=[4, 2, 2, 2]  ,     __a       :       Optional[int]=[64, 128, 320, 512]  ,     __a       :       List[Any]=[3, 3, 12, 3]  ,     __a       :       Optional[int]=[8, 8, 4, 4]  ,     __a       :       Union[str, Any]="gelu"  ,     __a       :       Union[str, Any]=0.02  ,     __a       :       str=1E-6  ,     __a       :       Any=1E-2  ,     __a       :       Tuple=0.0  ,     __a       :       str=0.0  ,     **__a       :       Dict  ,     ):
         super().__init__(**__a					)
         UpperCAmelCase_			       =  image_size
         UpperCAmelCase_			       =  num_channels
         UpperCAmelCase_			       =  patch_sizes
         UpperCAmelCase_			       =  strides
         UpperCAmelCase_			       =  hidden_sizes
         UpperCAmelCase_			       =  depths
         UpperCAmelCase_			       =  mlp_ratios
         UpperCAmelCase_			       =  hidden_act
         UpperCAmelCase_			       =  initializer_range
         UpperCAmelCase_			       =  layer_norm_eps
         UpperCAmelCase_			       =  layer_scale_init_value
         UpperCAmelCase_			       =  drop_path_rate
         UpperCAmelCase_			       =  dropout_rate







"""simple docstring"""


from __future__ import annotations



def   _A					(	_a	:						list[float]     ,   _a	:						list[float]				):



      """simple docstring"""






      A				  =		sorted(numsa + numsa				)
      A  ,			A				  =		divmod(len(_a				)     ,   2				)
      if mod == 1:
            return all_numbers[div]
      else:
            return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  UpperCAmelCase													=[float(x) for x in input("Enter the elements of first array: ").split()]
  UpperCAmelCase													=[float(x) for x in input("Enter the elements of second array: ").split()]
  print(f"""The median of two arrays is: {median_of_two_arrays(array_a, array_a)}""")




