


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						(	SCREAMING_SNAKE_CASE,      unittest.TestCase  ):
       _UpperCamelCase     		=   MPNetTokenizer
       _UpperCamelCase     		=   MPNetTokenizerFast
       _UpperCamelCase     		=   True
       _UpperCamelCase     		=   True

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        super().setUp()

        snake_case :			int							=   [
            '''[UNK]''',
            '''[CLS]''',
            '''[SEP]''',
            '''[PAD]''',
            '''[MASK]''',
            '''want''',
            '''##want''',
            '''##ed''',
            '''wa''',
            '''un''',
            '''runn''',
            '''##ing''',
            ''',''',
            '''low''',
            '''lowest''',
        ]
        snake_case :			Tuple							=   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						,    a__       ):






        '''simple docstring'''






        snake_case :			List[str]							=   '''UNwant\u00E9d,running'''
        snake_case :			Tuple							=   '''unwanted, running'''
        return input_text, output_text

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			str							=   self.tokenizer_class(self.vocab_file       )

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



       @slow
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			int							=   self.tokenizer_class.from_pretrained('''microsoft/mpnet-base'''       )

        snake_case :			Union[str, Any]							=   tokenizer.encode('''sequence builders'''						,    add_special_tokens=a__       )
        snake_case :			Optional[int]							=   tokenizer.encode('''multi-sequence build'''						,    add_special_tokens=a__       )

        snake_case :			List[Any]							=   tokenizer.build_inputs_with_special_tokens(a__       )
        snake_case :			Tuple							=   tokenizer.build_inputs_with_special_tokens(a__						,    a__       )

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











UpperCAmelCase__  =			10**8





def 				A      (	_UpperCAmelCase							:  int       )							->					bool:







			'''simple docstring'''
			if n % 10 == 0:
						return False
			_UpperCAmelCase									=  str(_UpperCAmelCase       )
			return s == s[::-1]





def 				A      (	)							->					int:







			'''simple docstring'''
			_UpperCAmelCase									=  set()
			_UpperCAmelCase									=  1
			_UpperCAmelCase									=  5
			while sum_squares < LIMIT:
						_UpperCAmelCase									=  first_square + 1
						while sum_squares < LIMIT:
									if is_palindrome(_UpperCAmelCase       ):
												answer.add(_UpperCAmelCase       )
									last_square += 1
									sum_squares += last_square**2
						first_square += 1
						_UpperCAmelCase									=  first_square**2 + (first_square + 1) ** 2

			return sum(_UpperCAmelCase       )


if __name__ == "__main__":
							print(solution())
