

import os
def 	a (     )       -> Dict:





      """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      			=[]
      for line in triangle:
            _lowercase      			=[]
            for number in line.strip().split(' '	):
                  numbers_from_line.append(int(A__	)	)
            a.append(A__	)

      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())





from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


lowercase_   							=  datasets.utils.logging.get_logger(__name__)





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilderConfig				):
  _a		     =    None
  _a		     =    None





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilder				):
  _a		     =    datasets.Audio()
  _a		     =    """audio"""
  _a		     =    AudioFolderConfig
  _a		     =    42  # definition at the bottom of the script
  _a		     =    AudioClassification(audio_column="""audio"""     ,     label_column="""label"""				)
lowercase_   							=  [
    '.aiff',
    '.au',
    '.avr',
    '.caf',
    '.flac',
    '.htk',
    '.svx',
    '.mat4',
    '.mat5',
    '.mpc2k',
    '.ogg',
    '.paf',
    '.pvf',
    '.raw',
    '.rf64',
    '.sd2',
    '.sds',
    '.ircam',
    '.voc',
    '.w64',
    '.wav',
    '.nist',
    '.wavex',
    '.wve',
    '.xi',
    '.mp3',
    '.opus',
]
lowercase_   							=  AUDIO_EXTENSIONS


