



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__			= logging.get_logger(__name__)

lowerCamelCase__			= {
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	str    ='big_bird'





							def __init__(   self		:		Optional[Any]      ,				__lowercase		:		Any=50358      ,				__lowercase		:		Dict=768      ,				__lowercase		:		Optional[Any]=12      ,				__lowercase		:		Dict=12      ,				__lowercase		:		Any=3072      ,				__lowercase		:		Optional[int]="gelu_new"      ,				__lowercase		:		int=0.1      ,				__lowercase		:		str=0.1      ,				__lowercase		:		Optional[Any]=4096      ,				__lowercase		:		str=2      ,				__lowercase		:		List[Any]=0.02      ,				__lowercase		:		Optional[Any]=1E-12      ,				__lowercase		:		Union[str, Any]=True      ,				__lowercase		:		Optional[Any]=0      ,				__lowercase		:		List[Any]=1      ,				__lowercase		:		Optional[Any]=2      ,				__lowercase		:		Union[str, Any]=66      ,				__lowercase		:		Dict="block_sparse"      ,				__lowercase		:		List[Any]=True      ,				__lowercase		:		Optional[int]=False      ,				__lowercase		:		List[str]=64      ,				__lowercase		:		int=3      ,				__lowercase		:		Any=None      ,				**__lowercase		:		Optional[int]      ,				):

											'''simple docstring'''
											super().__init__(
											    pad_token_id=__lowercase      ,				bos_token_id=__lowercase      ,				eos_token_id=__lowercase      ,				sep_token_id=__lowercase      ,				**__lowercase      ,				)

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

											__a       =		rescale_embeddings
											__a       =		attention_type
											__a       =		use_bias
											__a       =		block_size
											__a       =		num_random_blocks
											__a       =		classifier_dropout






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):





							@property
							def 						UpperCamelCase_					(   self		:		Any	):

											'''simple docstring'''
											if self.task == "multiple-choice":
															__a       =		{0: """batch""", 1: """choice""", 2: """sequence"""}
											else:
															__a       =		{0: """batch""", 1: """sequence"""}
											return OrderedDict(
											    [
											        ("""input_ids""", dynamic_axis),
											        ("""attention_mask""", dynamic_axis),
											    ]	)





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())
