




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    (      lowerCamelCase_				,      unittest.TestCase ):

      """simple docstring"""

      lowerCAmelCase__      :			Union[str, Any]     =       MPNetTokenizer
      lowerCAmelCase__      :			Optional[Any]     =       MPNetTokenizerFast
      lowerCAmelCase__      :			Dict     =       True
      lowerCAmelCase__      :			Dict     =       True







      def    snake_case						(  self       :			Optional[Any]					):
          super().setUp()

          __UpperCamelCase			=    [
              '''[UNK]''',
              '''[CLS]''',
              '''[SEP]''',
              '''[PAD]''',
              '''[MASK]''',
              '''want''',
              '''##want''',
              '''##ed''',
              '''wa''',
              '''un''',
              '''runn''',
              '''##ing''',
              ''',''',
              '''low''',
              '''lowest''',
          ]
          __UpperCamelCase			=    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       :			Tuple			,							snake_case       :			str					):
          __UpperCamelCase			=    '''UNwant\u00E9d,running'''
          __UpperCamelCase			=    '''unwanted, running'''
          return input_text, output_text







      def    snake_case						(  self       :			Dict					):
          __UpperCamelCase			=    self.tokenizer_class(self.vocab_file					)

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







      @slow
      def    snake_case						(  self       :			Optional[Any]					):
          __UpperCamelCase			=    self.tokenizer_class.from_pretrained('''microsoft/mpnet-base'''					)

          __UpperCamelCase			=    tokenizer.encode('''sequence builders'''			,							add_special_tokens=snake_case					)
          __UpperCamelCase			=    tokenizer.encode('''multi-sequence build'''			,							add_special_tokens=snake_case					)

          __UpperCamelCase			=    tokenizer.build_inputs_with_special_tokens(snake_case					)
          __UpperCamelCase			=    tokenizer.build_inputs_with_special_tokens(snake_case			,							snake_case					)

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









import os







def      snake_case__							(  ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=os.path.dirname(os.path.realpath(lowerCAmelCase_     )     )
     SCREAMING_SNAKE_CASE 		=os.path.join(lowerCAmelCase_,       'triangle.txt'     )

     with open(lowerCAmelCase_     ) as f:
          SCREAMING_SNAKE_CASE 		=f.readlines()

     SCREAMING_SNAKE_CASE 		=[[int(lowerCAmelCase_     ) for y in x.rstrip('\r\n'     ).split(' '     )] for x in triangle]

     for i in range(1,       len(lowerCAmelCase_     )     ):
          for j in range(len(a[i]     )     ):
               SCREAMING_SNAKE_CASE 		=a[i - 1][j] if j != len(a[i - 1]     ) else 0
               SCREAMING_SNAKE_CASE 		=a[i - 1][j - 1] if j > 0 else 0
               a[i][j] += max(lowerCAmelCase_,       lowerCAmelCase_     )
     return max(a[-1]     )


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

