



A_		:  int										=  '''
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

A_		:  List[Any]										=  [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
A_		:  Any										=  {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}




"""simple docstring"""

import os





def 					__UpperCamelCase (     )					->      int:




					"""simple docstring"""



					__lowercase        =      os.path.dirname(os.path.realpath(a__      )      )
					__lowercase        =      os.path.join(a__			,						'''triangle.txt'''      )

					with open(a__      ) as f:
										__lowercase        =      f.readlines()

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

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


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


