
'''simple docstring'''

__UpperCAmelCase												=   [chr(i) for i in range(32, 126)]
__UpperCAmelCase												=   list(range(len(alphabets)))
__UpperCAmelCase												=   list(range(len(alphabets)))
__UpperCAmelCase												=   list(range(len(alphabets)))
__UpperCAmelCase												=   list(reversed(range(len(alphabets))))
__UpperCAmelCase												=   []
__UpperCAmelCase												=   __UpperCAmelCase												=   __UpperCAmelCase												=   0



def        SCREAMING_SNAKE_CASE_  (	)       ->	List[str]:
 global gear_one_pos
 global gear_two_pos
 global gear_three_pos
 SCREAMING_SNAKE_CASE  :  List[str]								=		gear_one[0]
 gear_one.append(snake_case_							)
 del gear_one[0]
 gear_one_pos += 1
 if gear_one_pos % int(len(snake_case_							)							) == 0:
  SCREAMING_SNAKE_CASE  :  Optional[int]								=		gear_two[0]
  gear_two.append(snake_case_							)
  del gear_two[0]
  gear_two_pos += 1
  if gear_two_pos % int(len(snake_case_							)							) == 0:
   SCREAMING_SNAKE_CASE  :  Union[str, Any]								=		gear_three[0]
   gear_three.append(snake_case_							)
   del gear_three[0]
   gear_three_pos += 1



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	Any							)       ->	Optional[Any]:
 SCREAMING_SNAKE_CASE  :  Any								=		alphabets.index(snake_case_							)
 SCREAMING_SNAKE_CASE  :  Union[str, Any]								=		gear_one[target]
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		gear_two[target]
 SCREAMING_SNAKE_CASE  :  List[str]								=		gear_three[target]
 SCREAMING_SNAKE_CASE  :  Dict								=		reflector[target]
 SCREAMING_SNAKE_CASE  :  Tuple								=		gear_three.index(snake_case_							)
 SCREAMING_SNAKE_CASE  :  List[Any]								=		gear_two.index(snake_case_							)
 SCREAMING_SNAKE_CASE  :  Any								=		gear_one.index(snake_case_							)
 code.append(alphabets[target]							)
 rotator()


if __name__ == "__main__":
   __UpperCAmelCase												=   list(input('Type your message:\n'))
   while True:
      try:
         __UpperCAmelCase												=   int(input('Please set token:(must be only digits)\n'))
         break
      except Exception as error:
         print(error)
   for _ in range(token):
      rotator()
   for j in decode:
      engine(j)
   print('\n' + ''.join(code))
   print(
       f"""\nYour Token is {token} please write it down.\nIf you want to decode """
       'this message again you should input same digits as token!'
   )




'''simple docstring'''

import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 		_a     (							SCREAMING_SNAKE_CASE			,    unittest.TestCase  ):







   """simple docstring"""




   A		= MPNetTokenizer
   A		= MPNetTokenizerFast
   A		= True
   A		= True






   def 					__a			(       self      ):
    super().setUp()

    SCREAMING_SNAKE_CASE  :  Tuple								=		[
        '[UNK]',
        '[CLS]',
        '[SEP]',
        '[PAD]',
        '[MASK]',
        'want',
        '##want',
        '##ed',
        'wa',
        'un',
        'runn',
        '##ing',
        ',',
        'low',
        'lowest',
    ]
    SCREAMING_SNAKE_CASE  :  Optional[Any]								=		os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['vocab_file']      )
    with open(self.vocab_file    ,'w'    ,encoding='utf-8'      ) as vocab_writer:
     vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]      )      )






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  List[str]								=		'UNwant\u00E9d,running'
    SCREAMING_SNAKE_CASE  :  Any								=		'unwanted, running'
    return input_text, output_text






   def 					__a			(       self      ):
    SCREAMING_SNAKE_CASE  :  int								=		self.tokenizer_class(self.vocab_file      )

    SCREAMING_SNAKE_CASE  :  List[str]								=		tokenizer.tokenize('UNwant\u00E9d,running'      )
    self.assertListEqual(__SCREAMING_SNAKE_CASE    ,['un', '##want', '##ed', ',', 'runn', '##ing']      )
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE      )    ,[9, 6, 7, 12, 10, 11]      )






   @slow
   def 					__a			(       self      ):
    SCREAMING_SNAKE_CASE  :  Tuple								=		self.tokenizer_class.from_pretrained('microsoft/mpnet-base'      )

    SCREAMING_SNAKE_CASE  :  Dict								=		tokenizer.encode('sequence builders'    ,add_special_tokens=__SCREAMING_SNAKE_CASE      )
    SCREAMING_SNAKE_CASE  :  List[Any]								=		tokenizer.encode('multi-sequence build'    ,add_special_tokens=__SCREAMING_SNAKE_CASE      )

    SCREAMING_SNAKE_CASE  :  Tuple								=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE      )
    SCREAMING_SNAKE_CASE  :  Union[str, Any]								=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      )

    assert encoded_sentence == [0] + text + [2]
    assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]


