

'''simple docstring'''




import os




def 						UpperCamelCase	(			)				->     Optional[Any]:






     '''simple docstring'''
     __magic_name__						       =    os.path.dirname(os.path.realpath(a			)			)
     __magic_name__						       =    os.path.join(a		,						'''triangle.txt'''			)

     with open(a			) as f:
          __magic_name__						       =    f.readlines()

     __magic_name__						       =    []
     for line in triangle:
          __magic_name__						       =    []
          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]			)			):
               __magic_name__						       =    a[i - 1][j] if j != len(a[i - 1]			) else 0
               __magic_name__						       =    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())









'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase         =						{
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase         =						[
          "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
          "ClapModel",
          "ClapPreTrainedModel",
          "ClapTextModel",
          "ClapTextModelWithProjection",
          "ClapAudioModel",
          "ClapAudioModelWithProjection",
      ]
      _lowerCAmelCase         =						["ClapFeatureExtractor"]

if TYPE_CHECKING:
      from .configuration_clap import (
          CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
          ClapAudioConfig,
          ClapConfig,
          ClapTextConfig,
      )
      from .processing_clap import ClapProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_clap import ClapFeatureExtractor
            from .modeling_clap import (
                CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
                ClapAudioModel,
                ClapAudioModelWithProjection,
                ClapModel,
                ClapPreTrainedModel,
                ClapTextModel,
                ClapTextModelWithProjection,
            )


else:
      import sys

      _lowerCAmelCase         =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






