import os





def  lowercase(  )		->  Optional[int]:







	'''simple docstring'''
	UpperCamelCase      =			os.path.dirname(os.path.realpath(__A					)					)
	UpperCamelCase      =			os.path.join(__A       ,				"""triangle.txt"""					)

	with open(__A					) as f:
		UpperCamelCase      =			f.readlines()

	UpperCamelCase      =			[[int(__A					) for y in x.rstrip("""\r\n"""					).split(""" """					)] for x in triangle]

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


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

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


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   		=			{
    """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/config.json""",
    """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json""",
    """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/config.json""",
    """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json""",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}
class SCREAMING_SNAKE_CASE_		(			__lowerCAmelCase		):
   __lowerCAmelCase											=							"""splinter"""







   def __init__(    self	:	List[Any]      ,      lowerCamelCase_	:	int=3_0522      ,      lowerCamelCase_	:	Any=768      ,      lowerCamelCase_	:	List[Any]=12      ,      lowerCamelCase_	:	Tuple=12      ,      lowerCamelCase_	:	Tuple=3072      ,      lowerCamelCase_	:	Any="gelu"      ,      lowerCamelCase_	:	Union[str, Any]=0.1      ,      lowerCamelCase_	:	str=0.1      ,      lowerCamelCase_	:	int=512      ,      lowerCamelCase_	:	List[Any]=2      ,      lowerCamelCase_	:	List[Any]=0.0_2      ,      lowerCamelCase_	:	Dict=1E-12      ,      lowerCamelCase_	:	Tuple=True      ,      lowerCamelCase_	:	str=0      ,      lowerCamelCase_	:	Any=104      ,      **lowerCamelCase_	:	Dict      ,      ):





    """simple docstring"""


    super().__init__(pad_token_id=lowerCamelCase_      ,      **lowerCamelCase_							)

    UpperCamelCase      =			vocab_size
    UpperCamelCase      =			max_position_embeddings
    UpperCamelCase      =			hidden_size
    UpperCamelCase      =			num_hidden_layers
    UpperCamelCase      =			num_attention_heads
    UpperCamelCase      =			intermediate_size
    UpperCamelCase      =			hidden_act
    UpperCamelCase      =			hidden_dropout_prob
    UpperCamelCase      =			attention_probs_dropout_prob
    UpperCamelCase      =			initializer_range
    UpperCamelCase      =			type_vocab_size
    UpperCamelCase      =			layer_norm_eps
    UpperCamelCase      =			use_cache
    UpperCamelCase      =			question_token_id
