


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__snake_case   							=						logging.get_logger(__name__)

__snake_case   							=						{
    '''facebook/levit-128S''': '''https://huggingface.co/facebook/levit-128S/resolve/main/config.json''',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}



class 	__lowerCamelCase			(_a						):
       _lowercase											=     """levit"""







       def __init__(			self: List[str],A_: Dict=224,A_: Dict=3,A_: Any=3,A_: Any=2,A_: Any=1,A_: Dict=16,A_: str=[128, 256, 384],A_: Any=[4, 8, 12],A_: List[str]=[4, 4, 4],A_: List[Any]=[16, 16, 16],A_: Union[str, Any]=0,A_: Optional[Any]=[2, 2, 2],A_: Union[str, Any]=[2, 2, 2],A_: str=0.0_2,**A_: Any,):






            '''simple docstring'''




            super().__init__(**A_					)
            __UpperCamelCase =			image_size
            __UpperCamelCase =			num_channels
            __UpperCamelCase =			kernel_size
            __UpperCamelCase =			stride
            __UpperCamelCase =			padding
            __UpperCamelCase =			hidden_sizes
            __UpperCamelCase =			num_attention_heads
            __UpperCamelCase =			depths
            __UpperCamelCase =			key_dim
            __UpperCamelCase =			drop_path_rate
            __UpperCamelCase =			patch_size
            __UpperCamelCase =			attention_ratio
            __UpperCamelCase =			mlp_ratio
            __UpperCamelCase =			initializer_range
            __UpperCamelCase =			[
                ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
                ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
            ]



class 	__lowerCamelCase			(_a						):
       _lowercase											=     version.parse("""1.11"""						)







       @property
       def 		snake_case_	(			self: int					):






            '''simple docstring'''




            return OrderedDict(
                [
                    ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
                ]					)







       @property
       def 		snake_case_	(			self: Any					):






            '''simple docstring'''




            return 1E-4






import string






def 		_A		(		_lowercase )					-> None:


     """simple docstring"""


     for key in range(len(string.ascii_uppercase ) ):
          __UpperCamelCase =			''
          for symbol in message:
               if symbol in string.ascii_uppercase:
                    __UpperCamelCase =			string.ascii_uppercase.find(_lowercase )
                    __UpperCamelCase =			num - key
                    if num < 0:
                         __UpperCamelCase =			num + len(string.ascii_uppercase )
                    __UpperCamelCase =			translated + string.ascii_uppercase[num]
               else:
                    __UpperCamelCase =			translated + symbol
          print(f'''Decryption using Key #{key}: {translated}''' )






def 		_A		(		)					-> None:


     """simple docstring"""


     __UpperCamelCase =			input('Encrypted message: ' )
     __UpperCamelCase =			message.upper()
     decrypt(_lowercase )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()


