


"""simple docstring"""





def      _snake_case						(						_snake_case				:			str			):
      lowerCAmelCase					:	str       =   ''''''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups


def      _snake_case						(						_snake_case				:			str			):
      lowerCAmelCase					:	Tuple       =   [chr(i + 65			) for i in range(26			)]
      # Remove duplicate characters from key
      lowerCAmelCase					:	Union[str, Any]       =   remove_duplicates(key.upper()			)
      lowerCAmelCase					:	str       =   len(_snake_case			)
      # First fill cipher with key characters
      lowerCAmelCase					:	Optional[Any]       =   {alphabet[i]: char for i, char in enumerate(_snake_case			)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(_snake_case			) ,   26			):
            lowerCAmelCase					:	Optional[Any]       =   alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  lowerCAmelCase					:	int       =   alphabet[i - offset]
            lowerCAmelCase					:	Optional[int]       =   char
      return cipher_alphabet


def      _snake_case						(						_snake_case				:			str ,   _snake_case				:			dict[str, str]			):
      return "".join(cipher_map.get(_snake_case ,   _snake_case			) for ch in message.upper()			)


def      _snake_case						(						_snake_case				:			str ,   _snake_case				:			dict[str, str]			):
      lowerCAmelCase					:	List[Any]       =   {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(_snake_case ,   _snake_case			) for ch in message.upper()			)


def      _snake_case						(						):
      lowerCAmelCase					:	Dict       =   input('''Enter message to encode or decode: '''			).strip()
      lowerCAmelCase					:	Dict       =   input('''Enter keyword: '''			).strip()
      lowerCAmelCase					:	Optional[int]       =   input('''Encipher or decipher? E/D:'''			).strip()[0].lower()
      try:
            lowerCAmelCase					:	Union[str, Any]       =   {'''e''': encipher, '''d''': decipher}[option]
      except KeyError:
            raise KeyError('''invalid input option'''			)
      lowerCAmelCase					:	Any       =   create_cipher_map(_snake_case			)
      print(func(_snake_case ,   _snake_case			)			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()






"""simple docstring"""





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__		:     Tuple    				=				logging.get_logger(__name__)

snake_case__		:     int    				=				{
    '''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 		snake_case_(       a__			):
     __UpperCamelCase  =					'''levit'''






     def __init__(	self  :					str					,				UpperCamelCase_  :					Union[str, Any]=2_2_4					,				UpperCamelCase_  :					Union[str, Any]=3					,				UpperCamelCase_  :					Union[str, Any]=3					,				UpperCamelCase_  :					int=2					,				UpperCamelCase_  :					Union[str, Any]=1					,				UpperCamelCase_  :					Tuple=1_6					,				UpperCamelCase_  :					Dict=[1_2_8, 2_5_6, 3_8_4]					,				UpperCamelCase_  :					Optional[Any]=[4, 8, 1_2]					,				UpperCamelCase_  :					Dict=[4, 4, 4]					,				UpperCamelCase_  :					Any=[1_6, 1_6, 1_6]					,				UpperCamelCase_  :					str=0					,				UpperCamelCase_  :					int=[2, 2, 2]					,				UpperCamelCase_  :					Optional[Any]=[2, 2, 2]					,				UpperCamelCase_  :					str=0.02					,				**UpperCamelCase_  :					List[str]					,				):
           super().__init__(**UpperCamelCase_				)
           lowerCAmelCase					:	Tuple       =   image_size
           lowerCAmelCase					:	int       =   num_channels
           lowerCAmelCase					:	Optional[int]       =   kernel_size
           lowerCAmelCase					:	Dict       =   stride
           lowerCAmelCase					:	List[Any]       =   padding
           lowerCAmelCase					:	Dict       =   hidden_sizes
           lowerCAmelCase					:	List[str]       =   num_attention_heads
           lowerCAmelCase					:	Tuple       =   depths
           lowerCAmelCase					:	Dict       =   key_dim
           lowerCAmelCase					:	Union[str, Any]       =   drop_path_rate
           lowerCAmelCase					:	List[Any]       =   patch_size
           lowerCAmelCase					:	Tuple       =   attention_ratio
           lowerCAmelCase					:	Optional[int]       =   mlp_ratio
           lowerCAmelCase					:	Union[str, Any]       =   initializer_range
           lowerCAmelCase					:	List[str]       =   [
               ['''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 		snake_case_(       a__			):
     __UpperCamelCase  =					version.parse('''1.11'''			)






     @property
     def      lowerCamelCase__     (	self  :					Tuple				):
           return OrderedDict(
               [
                   ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
               ]				)






     @property
     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           return 1E-4


