





'''simple docstring'''

from string import ascii_uppercase

lowercase__						:      Any	=    {char: i for i, char in enumerate(ascii_uppercase)}
lowercase__						:      List[Any]	=    dict(enumerate(ascii_uppercase))







def  a__    (    lowercase :					str, lowercase :					str				)		->		str:





     """simple docstring"""

     _UpperCamelCase       =	len(lowercase				)
     _UpperCamelCase       =	0
     while True:
          if x == i:
               _UpperCamelCase       =	0
          if len(lowercase				) == len(lowercase				):
               break
          key += key[i]
          i += 1
     return key







def  a__    (    lowercase :					str, lowercase :					str				)		->		str:





     """simple docstring"""

     _UpperCamelCase       =	''''''
     _UpperCamelCase       =	0
     for letter in message:
          if letter == " ":
               cipher_text += " "
          else:
               _UpperCamelCase       =	(dicta[letter] - dicta[key_new[i]]) % 26
               i += 1
               cipher_text += dicta[x]
     return cipher_text







def  a__    (    lowercase :					str, lowercase :					str				)		->		str:





     """simple docstring"""

     _UpperCamelCase       =	''''''
     _UpperCamelCase       =	0
     for letter in cipher_text:
          if letter == " ":
               or_txt += " "
          else:
               _UpperCamelCase       =	(dicta[letter] + dicta[key_new[i]] + 26) % 26
               i += 1
               or_txt += dicta[x]
     return or_txt







def  a__    (    )		->		None:





     """simple docstring"""

     _UpperCamelCase       =	'''THE GERMAN ATTACK'''
     _UpperCamelCase       =	'''SECRET'''
     _UpperCamelCase       =	generate_key(lowercase, lowercase				)
     _UpperCamelCase       =	cipher_text(lowercase, lowercase				)
     print(F"""Encrypted Text = {s}"""				)
     print(F"""Original Text = {original_text(lowercase, lowercase				)}"""				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()










'''simple docstring'''

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


lowercase__						:      List[Any]	=    logging.get_logger(__name__)

lowercase__						:      Tuple	=    {
    'microsoft/trocr-base-handwritten': (
        'https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json'
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					int						    =   'trocr'
       _snake_case     :					List[str]						    =   ['past_key_values']
       _snake_case     :					Tuple						    =   {
           'num_attention_heads': 'decoder_attention_heads',
           'hidden_size': 'd_model',
           'num_hidden_layers': 'decoder_layers',
       }





       def __init__(							self       :		Tuple	,			lowerCAmelCase__       :		Union[str, Any]=50265	,			lowerCAmelCase__       :		List[Any]=1024	,			lowerCAmelCase__       :		List[str]=12	,			lowerCAmelCase__       :		int=16	,			lowerCAmelCase__       :		List[Any]=4096	,			lowerCAmelCase__       :		Optional[int]="gelu"	,			lowerCAmelCase__       :		int=512	,			lowerCAmelCase__       :		Optional[Any]=0.1	,			lowerCAmelCase__       :		Optional[int]=0.0	,			lowerCAmelCase__       :		Dict=0.0	,			lowerCAmelCase__       :		Tuple=2	,			lowerCAmelCase__       :		Dict=0.02	,			lowerCAmelCase__       :		Tuple=0.0	,			lowerCAmelCase__       :		int=True	,			lowerCAmelCase__       :		Optional[Any]=False	,			lowerCAmelCase__       :		Any=True	,			lowerCAmelCase__       :		Dict=True	,			lowerCAmelCase__       :		Optional[int]=1	,			lowerCAmelCase__       :		List[Any]=0	,			lowerCAmelCase__       :		Any=2	,			**lowerCAmelCase__       :		Optional[int]	,			)   ->					Any:

            '''simple docstring'''




            _UpperCamelCase       =	vocab_size
            _UpperCamelCase       =	d_model
            _UpperCamelCase       =	decoder_layers
            _UpperCamelCase       =	decoder_attention_heads
            _UpperCamelCase       =	decoder_ffn_dim
            _UpperCamelCase       =	activation_function
            _UpperCamelCase       =	max_position_embeddings
            _UpperCamelCase       =	dropout
            _UpperCamelCase       =	attention_dropout
            _UpperCamelCase       =	activation_dropout
            _UpperCamelCase       =	init_std
            _UpperCamelCase       =	decoder_layerdrop
            _UpperCamelCase       =	use_cache
            _UpperCamelCase       =	scale_embedding
            _UpperCamelCase       =	use_learned_position_embeddings
            _UpperCamelCase       =	layernorm_embedding

            super().__init__(
                pad_token_id=lowerCAmelCase__	,			bos_token_id=lowerCAmelCase__	,			eos_token_id=lowerCAmelCase__	,			decoder_start_token_id=lowerCAmelCase__	,			**lowerCAmelCase__	,			)



