





import os





def 						lowerCamelCase__     (     )			-> int:



					'''simple docstring'''




					_snake_case									=				os.path.dirname(os.path.realpath(UpperCamelCase__						)						)
					_snake_case									=				os.path.join(UpperCamelCase__       ,    'triangle.txt'						)

					with open(UpperCamelCase__						) as f:
										_snake_case									=				f.readlines()

					_snake_case									=				[]
					for line in triangle:
										_snake_case									=				[]
										for number in line.strip().split(' '						):
															numbers_from_line.append(int(UpperCamelCase__						)						)
										a.append(UpperCamelCase__						)

					for i in range(1       ,    len(UpperCamelCase__						)						):
										for j in range(len(a[i]						)						):
															_snake_case									=				a[i - 1][j] if j != len(a[i - 1]						) else 0
															_snake_case									=				a[i - 1][j - 1] if j > 0 else 0
															a[i][j] += max(UpperCamelCase__       ,    UpperCamelCase__						)
					return max(a[-1]						)


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










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_      							=     {
    """configuration_luke""": ["""LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LukeConfig"""],
    """tokenization_luke""": ["""LukeTokenizer"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase_      							=     [
					    """LUKE_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """LukeForEntityClassification""",
					    """LukeForEntityPairClassification""",
					    """LukeForEntitySpanClassification""",
					    """LukeForMultipleChoice""",
					    """LukeForQuestionAnswering""",
					    """LukeForSequenceClassification""",
					    """LukeForTokenClassification""",
					    """LukeForMaskedLM""",
					    """LukeModel""",
					    """LukePreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
					from .tokenization_luke import LukeTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_luke import (
										    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LukeForEntityClassification,
										    LukeForEntityPairClassification,
										    LukeForEntitySpanClassification,
										    LukeForMaskedLM,
										    LukeForMultipleChoice,
										    LukeForQuestionAnswering,
										    LukeForSequenceClassification,
										    LukeForTokenClassification,
										    LukeModel,
										    LukePreTrainedModel,
										)

else:
					import sys

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



