


"""simple docstring"""


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


UpperCamelCase    :					Any							   =   logging.get_logger(__name__)

UpperCamelCase    :					List[Any]							   =   {
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}



class       lowerCamelCase__    ( snake_case_      ):
						lowerCAmelCase  	=  '''swinv2'''

						lowerCAmelCase  	=  {
						    '''num_attention_heads''': '''num_heads''',
						    '''num_hidden_layers''': '''num_layers''',
						}







						def __init__(				self :     Dict      ,      _lowercase :     Any=224      ,      _lowercase :     List[str]=4      ,      _lowercase :     List[Any]=3      ,      _lowercase :     Any=96      ,      _lowercase :     Any=[2, 2, 6, 2]      ,      _lowercase :     int=[3, 6, 12, 24]      ,      _lowercase :     Optional[Any]=7      ,      _lowercase :     Union[str, Any]=4.0      ,      _lowercase :     Optional[Any]=True      ,      _lowercase :     Optional[Any]=0.0      ,      _lowercase :     List[str]=0.0      ,      _lowercase :     int=0.1      ,      _lowercase :     Tuple="gelu"      ,      _lowercase :     str=False      ,      _lowercase :     List[str]=0.0_2      ,      _lowercase :     Union[str, Any]=1e-5      ,      _lowercase :     str=32      ,      **_lowercase :     Optional[int]      ,      ):
								super().__init__(**lowercase__		)

								A       							=			image_size
								A       							=			patch_size
								A       							=			num_channels
								A       							=			embed_dim
								A       							=			depths
								A       							=			len(lowercase__		)
								A       							=			num_heads
								A       							=			window_size
								A       							=			mlp_ratio
								A       							=			qkv_bias
								A       							=			hidden_dropout_prob
								A       							=			attention_probs_dropout_prob
								A       							=			drop_path_rate
								A       							=			hidden_act
								A       							=			use_absolute_embeddings
								A       							=			layer_norm_eps
								A       							=			initializer_range
								A       							=			encoder_stride
								# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								A       							=			int(embed_dim * 2 ** (len(lowercase__		) - 1)		)
								A       							=			(0, 0, 0, 0)











'''simple docstring'''


def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					list[int] ,    UpperCamelCase__    :					str				):




     """simple docstring"""


     a_     :							Tuple     						=  int(UpperCamelCase__				)

     # Initialize Result
     a_     :							Tuple     						=  []

     # Traverse through all denomination
     for denomination in reversed(UpperCamelCase__				):
          # Find denominations
          while int(UpperCamelCase__				) >= int(UpperCamelCase__				):
               total_value -= int(UpperCamelCase__				)
               answer.append(UpperCamelCase__				)  # Append the "answers" array

     return answer


# Driver Code
if __name__ == "__main__":
 lowerCAmelCase_      :  List[str]				     =  []
 lowerCAmelCase_      :  Union[str, Any]				     =  '0'

 if (
     input('Do you want to enter your denominations ? (yY/n): ').strip().lower()
     == "y"
 ):
  lowerCAmelCase_      :  str				     =  int(input('Enter the number of denominations you want to add: ').strip())

  for i in range(0, n):
   denominations.append(int(input(f"Denomination {i}: ").strip()))
  lowerCAmelCase_      :  Union[str, Any]				     =  input('Enter the change you want to make in Indian Currency: ').strip()
 else:
  # All denominations of Indian Currency if user does not enter
  lowerCAmelCase_      :  List[Any]				     =  [1, 2, 5, 10, 20, 50, 100, 500, 2000]
  lowerCAmelCase_      :  str				     =  input('Enter the change you want to make: ').strip()

 if int(value) == 0 or int(value) < 0:
  print('The total value cannot be zero or negative.')

 else:
  print(f"Following is minimal change for {value}: ")
  lowerCAmelCase_      :  Optional[int]				     =  find_minimum_change(denominations, value)
  # Print result
  for i in range(len(answer)):
   print(answer[i], end=' ')
