


from string import ascii_uppercase

__a	 =      {char: i for i, char in enumerate(ascii_uppercase)}
__a	 =      dict(enumerate(ascii_uppercase))
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_ )    ->str:
   UpperCAmelCase      					=  len(__A )
   UpperCAmelCase      					=  0
   while True:
      if x == i:
         UpperCAmelCase      					=  0
      if len(__A ) == len(__A ):
         break
      key += key[i]
      i += 1
   return key
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_ )    ->str:
   UpperCAmelCase      					=  ''''''
   UpperCAmelCase      					=  0
   for letter in message:
      if letter == " ":
         cipher_text += " "
      else:
         UpperCAmelCase      					=  (dicta[letter] - dicta[key_new[i]]) % 2_6
         i += 1
         cipher_text += dicta[x]
   return cipher_text
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_ )    ->str:
   UpperCAmelCase      					=  ''''''
   UpperCAmelCase      					=  0
   for letter in cipher_text:
      if letter == " ":
         or_txt += " "
      else:
         UpperCAmelCase      					=  (dicta[letter] + dicta[key_new[i]] + 2_6) % 2_6
         i += 1
         or_txt += dicta[x]
   return or_txt
def 	_UpperCamelCase					(    )    ->None:
   UpperCAmelCase      					=  '''THE GERMAN ATTACK'''
   UpperCAmelCase      					=  '''SECRET'''
   UpperCAmelCase      					=  generate_key(__A	,    __A )
   UpperCAmelCase      					=  cipher_text(__A	,    __A )
   print(F"""Encrypted Text = {s}""" )
   print(F"""Original Text = {original_text(__A	,    __A )}""" )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()











'''simple docstring'''



import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict
@dataclass
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      UpperCamelCase_             =      ComputeEnvironment.AMAZON_SAGEMAKER
      UpperCamelCase_             =      True
      UpperCamelCase_             =      '''ml.p3.2xlarge'''
      UpperCamelCase_             =      '''accelerate_sagemaker_execution_role'''
      UpperCamelCase_             =      '''hf-sm'''
      UpperCamelCase_             =      '''us-east-1'''
      UpperCamelCase_             =      1
      UpperCamelCase_             =      '''accelerate-sagemaker-1'''
      UpperCamelCase_             =      '''1.6'''
      UpperCamelCase_             =      '''4.4'''
      UpperCamelCase_             =      '''train.py'''
      UpperCamelCase_             =      [
          '''--model_name_or_path''',
          '''bert''',
          '''--do_train''',
          '''False''',
          '''--epochs''',
          '''3''',
          '''--learning_rate''',
          '''5e-5''',
          '''--max_steps''',
          '''50.5''',
      ]
      UpperCamelCase_             =      [
          '''--model_name_or_path''',
          '''bert''',
          '''--do_train''',
          '''--do_test''',
          '''False''',
          '''--do_predict''',
          '''--epochs''',
          '''3''',
          '''--learning_rate''',
          '''5e-5''',
          '''--max_steps''',
          '''50.5''',
      ]





class UpperCAmelCase_       (     unittest.TestCase					):




      """simple docstring"""




      def 					A__   (			self      :		int		)	->	Dict:


       '''simple docstring'''

       lowercase       : str						=_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args		)
       assert isinstance(converted_args['''model_name_or_path''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''do_train''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''epochs''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''learning_rate''']  ,   UpperCAmelCase		)
       assert isinstance(converted_args['''max_steps''']  ,   UpperCAmelCase		)

       with pytest.raises(UpperCAmelCase		):
        _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args		)



