import os
def    A			(					):
						SCREAMING_SNAKE_CASE							:					Dict           =							os.path.dirname(os.path.realpath(lowercase_		)		)
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							os.path.join(lowercase_	,						'''triangle.txt'''		)

						with open(lowercase_		) as f:
												SCREAMING_SNAKE_CASE							:					List[Any]           =							f.readlines()

						SCREAMING_SNAKE_CASE							:					Optional[Any]           =							[]
						for line in triangle:
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							[]
												for number in line.strip().split(''' '''		):
																		numbers_from_line.append(int(lowercase_		)		)
												a.append(lowercase_		)

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


if __name__ == "__main__":
					print(solution())
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase	: Tuple    		=  {
    'configuration_maskformer': ['MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MaskFormerConfig'],
    'configuration_maskformer_swin': ['MaskFormerSwinConfig'],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase	: Optional[Any]    		=  ['MaskFormerFeatureExtractor']
					__UpperCamelCase	: List[Any]    		=  ['MaskFormerImageProcessor']


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase	: Optional[int]    		=  [
					    'MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'MaskFormerForInstanceSegmentation',
					    'MaskFormerModel',
					    'MaskFormerPreTrainedModel',
					]
					__UpperCamelCase	: Union[str, Any]    		=  [
					    'MaskFormerSwinBackbone',
					    'MaskFormerSwinModel',
					    'MaskFormerSwinPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
					from .configuration_maskformer_swin import MaskFormerSwinConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_maskformer import MaskFormerFeatureExtractor
										from .image_processing_maskformer import MaskFormerImageProcessor
					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskformer import (
										    MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskFormerForInstanceSegmentation,
										    MaskFormerModel,
										    MaskFormerPreTrainedModel,
										)
										from .modeling_maskformer_swin import (
										    MaskFormerSwinBackbone,
										    MaskFormerSwinModel,
										    MaskFormerSwinPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase	: List[str]    		=  _LazyModule(__name__, globals()['__file__'], _import_structure)





