


from __future__ import annotations

from random import choice




def       a_ (       SCREAMING_SNAKE_CASE__   : Dict	):
       '''simple docstring'''





       return choice(SCREAMING_SNAKE_CASE__	)




def       a_ (       SCREAMING_SNAKE_CASE__   : list[int]						,     SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       _lowerCamelCase			:						Optional[int]            =random_pivot(SCREAMING_SNAKE_CASE__	)

       # partition based on pivot
       # linear time
       _lowerCamelCase			:						Dict            =[e for e in lst if e < pivot]
       _lowerCamelCase			:						List[str]            =[e for e in lst if e > pivot]

       # if we get lucky, pivot might be the element we want.
       # we can easily see this:
       # small (elements smaller than k)
       # + pivot (kth element)
       # + big (elements larger than k)
       if len(SCREAMING_SNAKE_CASE__	) == k - 1:
              return pivot
       # pivot is in elements bigger than k
       elif len(SCREAMING_SNAKE_CASE__	) < k - 1:
              return kth_number(SCREAMING_SNAKE_CASE__						,     k - len(SCREAMING_SNAKE_CASE__	) - 1	)
       # pivot is in elements smaller than k
       else:
              return kth_number(SCREAMING_SNAKE_CASE__						,     SCREAMING_SNAKE_CASE__	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()






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


lowerCamelCase		   =			logging.get_logger(__name__)

lowerCamelCase		   =			{
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Union[str, Any] ='vit_msn'






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	List[str]=768     ,  lowercase_		:	Optional[int]=12     ,  lowercase_		:	List[str]=12     ,  lowercase_		:	List[Any]=3072     ,  lowercase_		:	int="gelu"     ,  lowercase_		:	List[Any]=0.0     ,  lowercase_		:	Optional[int]=0.0     ,  lowercase_		:	Dict=0.02     ,  lowercase_		:	Any=1E-06     ,  lowercase_		:	Union[str, Any]=224     ,  lowercase_		:	Optional[int]=16     ,  lowercase_		:	List[Any]=3     ,  lowercase_		:	Any=True     ,  **lowercase_		:	Tuple     ,  )   ->		Dict:
             """simple docstring"""




             super().__init__(**lowercase_					)

             _lowerCamelCase			:						Dict            =hidden_size
             _lowerCamelCase			:						Any            =num_hidden_layers
             _lowerCamelCase			:						Union[str, Any]            =num_attention_heads
             _lowerCamelCase			:						List[Any]            =intermediate_size
             _lowerCamelCase			:						Tuple            =hidden_act
             _lowerCamelCase			:						Any            =hidden_dropout_prob
             _lowerCamelCase			:						Dict            =attention_probs_dropout_prob
             _lowerCamelCase			:						Any            =initializer_range
             _lowerCamelCase			:						List[Any]            =layer_norm_eps
             _lowerCamelCase			:						Optional[int]            =image_size
             _lowerCamelCase			:						Optional[int]            =patch_size
             _lowerCamelCase			:						List[Any]            =num_channels
             _lowerCamelCase			:						Optional[Any]            =qkv_bias


