


def       __lowerCAmelCase      (						__snake_case       ):

     if not grid or not grid[0]:
          raise TypeError("The grid does not contain the appropriate information"       )

     for cell_n in range(1					, len(grid[0]       )       ):
          grid[0][cell_n] += grid[0][cell_n - 1]
     __lowerCAmelCase								=					grid[0]

     for row_n in range(1					, len(__snake_case       )       ):
          __lowerCAmelCase								=					grid[row_n]
          __lowerCAmelCase								=					fill_row(__snake_case					, __snake_case       )
          __lowerCAmelCase								=					grid[row_n]

     return grid[-1][-1]





def       __lowerCAmelCase      (						__snake_case					, __snake_case       ):
     current_row[0] += row_above[0]
     for cell_n in range(1					, len(__snake_case       )       ):
          current_row[cell_n] += min(current_row[cell_n - 1]					, row_above[cell_n]       )

     return current_row


if __name__ == "__main__":
 import doctest

 doctest.testmod()














lowerCamelCase			:					str         =	'''
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCamelCase			:					Tuple         =	[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCamelCase			:					Dict         =	{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






