


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__lowerCamelCase   	=  logging.get_logger(__name__)


class 	a__						(    lowerCAmelCase_     ):

       def __init__( self   :  Any   ,				*lowerCamelCase_   :  List[Any]   ,				**lowerCamelCase_   :  str     ):
            warnings.warn(
                """The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
                """ Please use ConditionalDetrImageProcessor instead."""   ,				lowerCamelCase_   ,				)
            super().__init__(*lowerCamelCase_   ,				**lowerCamelCase_     )






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())

