"""simple docstring"""




import os






def   UpperCAmelCase					(	):






							"""simple docstring"""





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

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

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






"""simple docstring"""




from typing import TYPE_CHECKING

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


__lowerCamelCase											=  {"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  ["GLPNFeatureExtractor"]
				__lowerCamelCase											=  ["GLPNImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  [
				    "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "GLPNForDepthEstimation",
				    "GLPNLayer",
				    "GLPNModel",
				    "GLPNPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_glpn import GLPNFeatureExtractor
								from .image_processing_glpn import GLPNImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_glpn import (
								    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    GLPNForDepthEstimation,
								    GLPNLayer,
								    GLPNModel,
								    GLPNPreTrainedModel,
								)


else:
				import sys

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





