




"""simple docstring"""

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


a         =      logging.get_logger(__name__)

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





class     lowercase_	(					__lowerCAmelCase							):



 '''simple docstring'''
 UpperCAmelCase   :					Optional[int]				  =     '''van'''

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







"""simple docstring"""

def 						_snake_case					( _snake_case							: int							)   -> list:






      '''simple docstring'''


      _A        =       int(_snake_case							)
      if n_element < 1:
            _A        =       ValueError('a should be a positive number'							)
            raise my_error

      _A        =       [1]
      _A       ,   _A       ,   _A        =       (0, 0, 0)
      _A        =       1
      while index < n_element:
            while hamming_list[i] * 2 <= hamming_list[-1]:
                  i += 1
            while hamming_list[j] * 3 <= hamming_list[-1]:
                  j += 1
            while hamming_list[k] * 5 <= hamming_list[-1]:
                  k += 1
            hamming_list.append(
                min(hamming_list[i] * 2    ,  hamming_list[j] * 3    ,  hamming_list[k] * 5							)							)
            index += 1
      return hamming_list


if __name__ == "__main__":
       a         =      input('''Enter the last number (nth term) of the Hamming Number Series: ''')
       print('''Formula of Hamming Number Series => 2^i * 3^j * 5^k''')
       a         =      hamming(int(n))
       print('''-----------------------------------------------------''')
       print(F'''The list with nth numbers is: {hamming_numbers}''')
       print('''-----------------------------------------------------''')

