

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


a_     :    int     		=   logging.get_logger(__name__)

a_     :    Optional[int]     		=   {
    "Visual-Attention-Network/van-base": (
        "https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"
    ),
}




class   UpperCamelCase			(  a_ ):
    __UpperCamelCase    ='''van'''

    def __init__(      self			:   List[str]				,     snake_case__			:   Any=2_2_4				,     snake_case__			:   Optional[int]=3				,     snake_case__			:   List[Any]=[7, 3, 3, 3]				,     snake_case__			:   Optional[Any]=[4, 2, 2, 2]				,     snake_case__			:   Any=[6_4, 1_2_8, 3_2_0, 5_1_2]				,     snake_case__			:   Any=[3, 3, 1_2, 3]				,     snake_case__			:   Optional[int]=[8, 8, 4, 4]				,     snake_case__			:   Any="gelu"				,     snake_case__			:   List[str]=0.02				,     snake_case__			:   List[str]=1E-6				,     snake_case__			:   Optional[Any]=1E-2				,     snake_case__			:   Optional[Any]=0.0				,     snake_case__			:   int=0.0				,     **snake_case__			:   Any				,     ):

     """simple docstring"""






     super().__init__(**_SCREAMING_SNAKE_CASE     )
     SCREAMING_SNAKE_CASE		    =      image_size
     SCREAMING_SNAKE_CASE		    =      num_channels
     SCREAMING_SNAKE_CASE		    =      patch_sizes
     SCREAMING_SNAKE_CASE		    =      strides
     SCREAMING_SNAKE_CASE		    =      hidden_sizes
     SCREAMING_SNAKE_CASE		    =      depths
     SCREAMING_SNAKE_CASE		    =      mlp_ratios
     SCREAMING_SNAKE_CASE		    =      hidden_act
     SCREAMING_SNAKE_CASE		    =      initializer_range
     SCREAMING_SNAKE_CASE		    =      layer_norm_eps
     SCREAMING_SNAKE_CASE		    =      layer_scale_init_value
     SCREAMING_SNAKE_CASE		    =      drop_path_rate
     SCREAMING_SNAKE_CASE		    =      dropout_rate




'''simple docstring'''



def       snake_case   (	snake_case      : list					,		snake_case      : list					,		snake_case      : int					,		snake_case      : int					,		snake_case      : int			) ->  int:


    """simple docstring"""


    if index == number_of_items:
        return 0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							knapsack(snake_case					,		snake_case					,		snake_case					,		snake_case					,		index + 1			)
    if weights[index] <= max_weight:
        lowerCAmelCase 						=							values[index] + knapsack(
            snake_case					,		snake_case					,		snake_case					,		max_weight - weights[index]					,		index + 1			)
    return max(snake_case					,		snake_case			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





