



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__			= logging.get_logger(__name__)






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	Union[str, Any]    ='encoder-decoder'
							__lowerCamelCase	:	Optional[Any]    =True





							def __init__(   self		:		Dict      ,				**__lowercase		:		Union[str, Any]	):

											'''simple docstring'''
											super().__init__(**__lowercase	)
											assert (
											    "encoder" in kwargs and "decoder" in kwargs
											), "Config has to be initialized with encoder and decoder config"
											__a       =		kwargs.pop("""encoder"""	)
											__a       =		encoder_config.pop("""model_type"""	)
											__a       =		kwargs.pop("""decoder"""	)
											__a       =		decoder_config.pop("""model_type"""	)

											from ..auto.configuration_auto import AutoConfig

											__a       =		AutoConfig.for_model(__lowercase      ,				**__lowercase	)
											__a       =		AutoConfig.for_model(__lowercase      ,				**__lowercase	)
											__a       =		True





							@classmethod
							def 						UpperCamelCase_					(   cls		:		Tuple      ,				__lowercase		:		PretrainedConfig      ,				__lowercase		:		PretrainedConfig      ,				**__lowercase		:		Optional[Any]	):

											'''simple docstring'''
											logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""	)
											__a       =		True
											__a       =		True

											return cls(encoder=encoder_config.to_dict()      ,				decoder=decoder_config.to_dict()      ,				**__lowercase	)







							def 						UpperCamelCase_					(   self		:		List[Any]	):

											'''simple docstring'''
											__a       =		copy.deepcopy(self.__dict__	)
											__a       =		self.encoder.to_dict()
											__a       =		self.decoder.to_dict()
											__a       =		self.__class__.model_type
											return output





import os

def   lowerCAmelCase__						(							):
				"""simple docstring"""







				__a       =		os.path.dirname(os.path.realpath(_SCREAMING_SNAKE_CASE    )    )
				__a       =		os.path.join(_SCREAMING_SNAKE_CASE				,     """triangle.txt"""    )

				with open(_SCREAMING_SNAKE_CASE    ) as f:
								__a       =		f.readlines()

				__a       =		[]
				for line in triangle:
								__a       =		[]
								for number in line.strip().split(""" """    ):
												numbers_from_line.append(int(_SCREAMING_SNAKE_CASE    )    )
								a.append(_SCREAMING_SNAKE_CASE    )

				for i in range(1				,     len(_SCREAMING_SNAKE_CASE    )    ):
								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(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )
				return max(a[-1]    )


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