


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


_snake_case				=			logging.get_logger(__name__)

_snake_case				=			{
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class  A_ (			a_  ):







 """simple docstring"""





 _UpperCamelCase					:			Optional[Any]     	=       '''yoso'''
 def __init__(      self       :			List[str]							,     _a       :			List[str]=5_0_2_6_5							,     _a       :			Any=7_6_8							,     _a       :			Union[str, Any]=1_2							,     _a       :			Optional[int]=1_2							,     _a       :			Tuple=3_0_7_2							,     _a       :			Dict="gelu"							,     _a       :			int=0.1							,     _a       :			Optional[Any]=0.1							,     _a       :			Tuple=4_0_9_6							,     _a       :			int=1							,     _a       :			List[str]=0.0_2							,     _a       :			Dict=1E-12							,     _a       :			int="absolute"							,     _a       :			List[str]=True							,     _a       :			List[str]=9							,     _a       :			str=6_4							,     _a       :			Optional[int]=None							,     _a       :			List[Any]=True							,     _a       :			Any=True							,     _a       :			Dict=1							,     _a       :			Union[str, Any]=0							,     _a       :			Optional[int]=2							,     **_a       :			int							,     )     ->      Optional[Any]:
      super().__init__(pad_token_id=_a							,     bos_token_id=_a							,     eos_token_id=_a							,     **_a					)

      UpperCAmelCase    :					List[Any]			=      vocab_size
      UpperCAmelCase    :					Optional[int]			=      max_position_embeddings
      UpperCAmelCase    :					List[Any]			=      hidden_size
      UpperCAmelCase    :					str			=      num_hidden_layers
      UpperCAmelCase    :					Any			=      num_attention_heads
      UpperCAmelCase    :					Union[str, Any]			=      intermediate_size
      UpperCAmelCase    :					Tuple			=      hidden_act
      UpperCAmelCase    :					str			=      hidden_dropout_prob
      UpperCAmelCase    :					Optional[Any]			=      attention_probs_dropout_prob
      UpperCAmelCase    :					Optional[Any]			=      initializer_range
      UpperCAmelCase    :					Optional[Any]			=      type_vocab_size
      UpperCAmelCase    :					Any			=      layer_norm_eps
      UpperCAmelCase    :					Optional[int]			=      position_embedding_type
      UpperCAmelCase    :					Union[str, Any]			=      use_expectation
      UpperCAmelCase    :					str			=      hash_code_len
      UpperCAmelCase    :					List[Any]			=      num_hash
      UpperCAmelCase    :					Optional[int]			=      conv_window
      UpperCAmelCase    :					Optional[int]			=      use_fast_hash
      UpperCAmelCase    :					List[Any]			=      lsh_backward







import os







def 	A (		):
     UpperCAmelCase    :					Any			=      os.path.dirname(os.path.realpath(A__			)			)
     UpperCAmelCase    :					Optional[int]			=      os.path.join(A__		,		"triangle.txt"			)

     with open(A__			) as f:
          UpperCAmelCase    :					Union[str, Any]			=      f.readlines()

     UpperCAmelCase    :					List[str]			=      [[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    :					List[Any]			=      a[i - 1][j] if j != len(a[i - 1]			) else 0
               UpperCAmelCase    :					Optional[int]			=      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())



