



import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_lowerCamelCase         =	logging.get_logger(__name__)

class    _SCREAMING_SNAKE_CASE						(UpperCamelCase			):





     def __init__(							self			:				Optional[int]  ,	*UpperCamelCase			:				List[Any]  ,	**UpperCamelCase			:				List[str]					)->None:
      warnings.warn(
          "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use MobileNetV2ImageProcessor instead."  ,	UpperCamelCase  ,	)
      super().__init__(*UpperCamelCase  ,	**UpperCamelCase					)












'''simple docstring'''




import os




def     snake_case__     (			) -> int:
					A_			:  List[str]			=				os.path.dirname(os.path.realpath(lowerCamelCase__      )      )
					A_			:  str			=				os.path.join(lowerCamelCase__      ,		'''triangle.txt'''      )

					with open(lowerCamelCase__      ) as in_file:
										A_			:  List[str]			=				[[int(lowerCamelCase__      ) for i in line.split()] for line in in_file]

					while len(lowerCamelCase__      ) != 1:
										A_			:  List[str]			=				triangle.pop()
										A_			:  Optional[Any]			=				triangle[-1]
										for j in range(len(lowerCamelCase__      ) - 1      ):
															curr_row[j] += max(last_row[j]      ,		last_row[j + 1]      )
					return triangle[0][0]


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



