





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class  A__       (	__snake_case	,       unittest.TestCase      ):
      _UpperCAmelCase     :List[str]						   =       CTRLTokenizer
      _UpperCAmelCase     :Any						   =       False
      _UpperCAmelCase     :Tuple						   =       False





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       UpperCamelCase     : Union[str, Any]	     =       ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
       UpperCamelCase     : Tuple	     =       dict(zip(A_	,							range(len(A_       )       )       )       )
       UpperCamelCase     : Optional[Any]	     =       ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
       UpperCamelCase     : Any	     =       {"unk_token": "<unk>"}

       UpperCamelCase     : Any	     =       os.path.join(self.tmpdirname	,							VOCAB_FILES_NAMES["vocab_file"]       )
       UpperCamelCase     : Optional[int]	     =       os.path.join(self.tmpdirname	,							VOCAB_FILES_NAMES["merges_file"]       )
       with open(self.vocab_file	,							"w"	,							encoding="utf-8"       ) as fp:
        fp.write(json.dumps(A_       ) + "\n"       )
       with open(self.merges_file	,							"w"	,							encoding="utf-8"       ) as fp:
        fp.write("\n".join(A_       )       )





      def 	__UpperCamelCase(			self	,							**A_       ):
       '''simple docstring'''




       kwargs.update(self.special_tokens_map       )
       return CTRLTokenizer.from_pretrained(self.tmpdirname	,							**A_       )





      def 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       "adapt react readapt apt"
       UpperCamelCase     : str	     =       "adapt react readapt apt"
       return input_text, output_text





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : List[Any]	     =       CTRLTokenizer(self.vocab_file	,							self.merges_file	,							**self.special_tokens_map       )
       UpperCamelCase     : int	     =       "adapt react readapt apt"
       UpperCamelCase     : Dict	     =       "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
       UpperCamelCase     : List[Any]	     =       tokenizer.tokenize(A_       )
       self.assertListEqual(A_	,							A_       )

       UpperCamelCase     : List[str]	     =       tokens + [tokenizer.unk_token]

       UpperCamelCase     : Any	     =       [0, 1, 2, 4, 5, 1, 0, 3, 6]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_       )	,							A_       )







import os



def 		A_    (					)						->			int:
 UpperCamelCase     : List[str]	     =       os.path.dirname(os.path.realpath(_lowerCAmelCase					)					)
 UpperCamelCase     : Any	     =       os.path.join(_lowerCAmelCase							,       "triangle.txt"					)

 with open(_lowerCAmelCase					) as f:
  UpperCamelCase     : Optional[Any]	     =       f.readlines()

 UpperCamelCase     : Tuple	     =       []
 for line in triangle:
  UpperCamelCase     : List[str]	     =       []
  for number in line.strip().split(" "					):
   numbers_from_line.append(int(_lowerCAmelCase					)					)
  a.append(_lowerCAmelCase					)

 for i in range(1							,       len(_lowerCAmelCase					)					):
  for j in range(len(a[i]					)					):
   UpperCamelCase     : List[Any]	     =       a[i - 1][j] if j != len(a[i - 1]					) else 0
   UpperCamelCase     : Dict	     =       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())
