
"""simple docstring"""


import os






def      lowerCAmelCase_     (	)     ->int:
			lowerCamelCase__			:  Any  =os.path.dirname(os.path.realpath(snake_case_    )    )
			lowerCamelCase__			:  Tuple  =os.path.join(snake_case_							,					'triangle.txt'    )

			with open(snake_case_    ) as in_file:
						lowerCamelCase__			:  Dict  =[[int(snake_case_    ) for i in line.split()] for line in in_file]

			while len(snake_case_    ) != 1:
						lowerCamelCase__			:  Any  =triangle.pop()
						lowerCamelCase__			:  int  =triangle[-1]
						for j in range(len(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, is_vision_available


lowerCAmelCase			=		{
    """configuration_donut_swin""": ["""DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DonutSwinConfig"""],
    """processing_donut""": ["""DonutProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase			=		[
							    """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """DonutSwinModel""",
							    """DonutSwinPreTrainedModel""",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase			=		["""DonutFeatureExtractor"""]
							lowerCAmelCase			=		["""DonutImageProcessor"""]


if TYPE_CHECKING:
							from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
							from .processing_donut import DonutProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_donut_swin import (
														    DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DonutSwinModel,
														    DonutSwinPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_donut import DonutFeatureExtractor
														from .image_processing_donut import DonutImageProcessor

else:
							import sys

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