

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


a_     =			logging.get_logger(__name__)

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






class _UpperCamelCase							(							snake_case__      ):
			'''simple docstring'''







			lowerCamelCase__							='''swinv2'''

			lowerCamelCase__							={
			    '''num_attention_heads''': '''num_heads''',
			    '''num_hidden_layers''': '''num_layers''',
			}
			def __init__(	self							:       Optional[int]					,					a							:       List[str]=224					,					a							:       Tuple=4					,					a							:       Tuple=3					,					a							:       Union[str, Any]=96					,					a							:       Any=[2, 2, 6, 2]					,					a							:       Union[str, Any]=[3, 6, 12, 24]					,					a							:       str=7					,					a							:       List[str]=4.0					,					a							:       List[Any]=True					,					a							:       Optional[Any]=0.0					,					a							:       Any=0.0					,					a							:       Optional[int]=0.1					,					a							:       Tuple="gelu"					,					a							:       Optional[Any]=False					,					a							:       int=0.02					,					a							:       Dict=1e-5					,					a							:       List[Any]=32					,					**a							:       Optional[Any]					,					)							->				List[Any]:

				"""simple docstring"""

				super().__init__(**_A		)

				SCREAMING_SNAKE_CASE      :					Dict    =				image_size
				SCREAMING_SNAKE_CASE      :					Dict    =				patch_size
				SCREAMING_SNAKE_CASE      :					List[Any]    =				num_channels
				SCREAMING_SNAKE_CASE      :					List[str]    =				embed_dim
				SCREAMING_SNAKE_CASE      :					Tuple    =				depths
				SCREAMING_SNAKE_CASE      :					List[Any]    =				len(_A		)
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				num_heads
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				window_size
				SCREAMING_SNAKE_CASE      :					Optional[int]    =				mlp_ratio
				SCREAMING_SNAKE_CASE      :					str    =				qkv_bias
				SCREAMING_SNAKE_CASE      :					Optional[int]    =				hidden_dropout_prob
				SCREAMING_SNAKE_CASE      :					Optional[Any]    =				attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				drop_path_rate
				SCREAMING_SNAKE_CASE      :					List[str]    =				hidden_act
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				use_absolute_embeddings
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				layer_norm_eps
				SCREAMING_SNAKE_CASE      :					str    =				initializer_range
				SCREAMING_SNAKE_CASE      :					Tuple    =				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
				SCREAMING_SNAKE_CASE      :					Optional[int]    =				int(embed_dim * 2 ** (len(_A		) - 1)		)
				SCREAMING_SNAKE_CASE      :					List[Any]    =				(0, 0, 0, 0)






def  _SCREAMING_SNAKE_CASE				(   a					,						a  )      ->      list[int]:
					__A	:						Optional[int]       =				int(a  )

					# Initialize Result
					__A	:						Optional[int]       =				[]

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

					return answer


# Driver Code
if __name__ == "__main__":
				UpperCAmelCase						:   List[str]			  =     []
				UpperCAmelCase						:   Optional[int]			  =     '''0'''

				if (
				    input('''Do you want to enter your denominations ? (yY/n): ''').strip().lower()
				    == "y"
				):
								UpperCAmelCase						:   List[Any]			  =     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()))
								UpperCAmelCase						:   int			  =     input('''Enter the change you want to make in Indian Currency: ''').strip()
				else:
								# All denominations of Indian Currency if user does not enter
								UpperCAmelCase						:   Optional[int]			  =     [1, 2, 5, 10, 20, 50, 1_00, 5_00, 20_00]
								UpperCAmelCase						:   Tuple			  =     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}: """)
								UpperCAmelCase						:   Optional[int]			  =     find_minimum_change(denominations, value)
								# Print result
								for i in range(len(answer)):
												print(answer[i], end=''' ''')




