"""simple docstring"""






import os

def  lowerCAmelCase_      ()				-> int:
						a_							:			str     		=					os.path.dirname(os.path.realpath(_SCREAMING_SNAKE_CASE  )  )
						a_							:			int     		=					os.path.join(_SCREAMING_SNAKE_CASE		,			"triangle.txt"  )

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

						while len(_SCREAMING_SNAKE_CASE  ) != 1:
												a_							:			Dict     		=					triangle.pop()
												a_							:			Dict     		=					triangle[-1]
												for j in range(len(_SCREAMING_SNAKE_CASE  ) - 1  ):
																		curr_row[j] += max(last_row[j]		,			last_row[j + 1]  )
						return triangle[0][0]


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





"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase     					=     {
    'configuration_bark': [
        'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BarkCoarseConfig',
        'BarkConfig',
        'BarkFineConfig',
        'BarkSemanticConfig',
    ],
    'processing_bark': ['BarkProcessor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     [
				    'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'BarkFineModel',
				    'BarkSemanticModel',
				    'BarkCoarseModel',
				    'BarkModel',
				    'BarkPreTrainedModel',
				    'BarkCausalModel',
				]

if TYPE_CHECKING:
				from .configuration_bark import (
				    BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    BarkCoarseConfig,
				    BarkConfig,
				    BarkFineConfig,
				    BarkSemanticConfig,
				)
				from .processing_bark import BarkProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_bark import (
								    BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
								    BarkCausalModel,
								    BarkCoarseModel,
								    BarkFineModel,
								    BarkModel,
								    BarkPreTrainedModel,
								    BarkSemanticModel,
								)

else:
				import sys

				UpperCamelCase     					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




