



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   lowerCamelCase__  (					_A       ,     unittest.TestCase):



 """simple docstring"""

 a__				:   List[Any]   =     MPNetTokenizer
 a__				:   Any   =     MPNetTokenizerFast
 a__				:   List[Any]   =     True
 a__				:   Optional[int]   =     True

 def 						snake_case_			(						self				:				Optional[int]			)      ->  Dict:
    super().setUp()

    _A						     =					[
        '''[UNK]''',
        '''[CLS]''',
        '''[SEP]''',
        '''[PAD]''',
        '''[MASK]''',
        '''want''',
        '''##want''',
        '''##ed''',
        '''wa''',
        '''un''',
        '''runn''',
        '''##ing''',
        ''',''',
        '''low''',
        '''lowest''',
    ]
    _A						     =					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 						snake_case_			(						self				:				Any ,	__lowerCAmelCase				:				Union[str, Any]			)      ->  List[str]:
    _A						     =					'''UNwant\u00E9d,running'''
    _A						     =					'''unwanted, running'''
    return input_text, output_text

 def 						snake_case_			(						self				:				List[str]			)      ->  Dict:
    _A						     =					self.tokenizer_class(self.vocab_file			)

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

 @slow
 def 						snake_case_			(						self				:				str			)      ->  str:
    _A						     =					self.tokenizer_class.from_pretrained('''microsoft/mpnet-base'''			)

    _A						     =					tokenizer.encode('''sequence builders''' ,	add_special_tokens=__lowerCAmelCase			)
    _A						     =					tokenizer.encode('''multi-sequence build''' ,	add_special_tokens=__lowerCAmelCase			)

    _A						     =					tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase			)
    _A						     =					tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase ,	__lowerCAmelCase			)

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








from __future__ import annotations

def   SCREAMING_SNAKE_CASE_       (  _snake_case  :int							)     ->    int | None:
   for r in range(1  ,      _snake_case							):
      _A						     =					[]
      for x in range(n - 1							):
         _A						     =					pow(_snake_case  ,      _snake_case  ,      _snake_case							)
         if val in li:
            break
         li.append(_snake_case							)
      else:
         return r
   return None


if __name__ == "__main__":
   UpperCAmelCase_		   =				int(input("""Enter a prime number q: """))
   UpperCAmelCase_		   =				find_primitive(q)
   if a is None:
      print(f'Cannot find the primitive for the value: {a!r}')
   else:
      UpperCAmelCase_		   =				int(input("""Enter private key of A: """))
      UpperCAmelCase_		   =				pow(a, a_private, q)
      UpperCAmelCase_		   =				int(input("""Enter private key of B: """))
      UpperCAmelCase_		   =				pow(a, b_private, q)

      UpperCAmelCase_		   =				pow(b_public, a_private, q)
      UpperCAmelCase_		   =				pow(a_public, b_private, q)

      print("""The key value generated by A is: """, a_secret)
      print("""The key value generated by B is: """, b_secret)



