
"""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        _lowercase   (				__UpperCAmelCase				,       unittest.TestCase		):
	lowercase_        =	MPNetTokenizer
	lowercase_        =	MPNetTokenizerFast
	lowercase_        =	True
	lowercase_        =	True




	def 			_UpperCamelCase    ( self					)		->							str:
			super().setUp()

			lowerCamelCase     :			Any		=    [
			    '[UNK]',
			    '[CLS]',
			    '[SEP]',
			    '[PAD]',
			    '[MASK]',
			    'want',
			    '##want',
			    '##ed',
			    'wa',
			    'un',
			    'runn',
			    '##ing',
			    ',',
			    'low',
			    'lowest',
			]
			lowerCamelCase     :			int		=    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 			_UpperCamelCase    ( self		, UpperCAmelCase_					)		->							Dict:
			lowerCamelCase     :			Tuple		=    'UNwant\u00E9d,running'
			lowerCamelCase     :			List[str]		=    'unwanted, running'
			return input_text, output_text




	def 			_UpperCamelCase    ( self					)		->							Optional[Any]:
			lowerCamelCase     :			Union[str, Any]		=    self.tokenizer_class(self.vocab_file					)

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




	@slow
	def 			_UpperCamelCase    ( self					)		->							int:
			lowerCamelCase     :			Tuple		=    self.tokenizer_class.from_pretrained('microsoft/mpnet-base'					)

			lowerCamelCase     :			Optional[int]		=    tokenizer.encode('sequence builders'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			Optional[Any]		=    tokenizer.encode('multi-sequence build'		, add_special_tokens=UpperCAmelCase_					)

			lowerCamelCase     :			Optional[int]		=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_					)
			lowerCamelCase     :			Optional[int]		=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_		, UpperCAmelCase_					)

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








"""simple docstring"""

from __future__ import annotations
def 		UpperCAmelCase					(		a_			):





		'''simple docstring'''


		for r in range(1,						a_			):
				lowerCamelCase     :			Tuple		=    []
				for x in range(n - 1			):
						lowerCamelCase     :			List[str]		=    pow(a_,						a_,						a_			)
						if val in li:
								break
						li.append(a_			)
				else:
						return r
		return None


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

										_A            = pow(b_public, a_private, q)
										_A            = 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)






