

"""simple docstring"""




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


__A	:       Dict        =						logging.get_logger(__name__)

__A	:       Tuple        =						{
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class      __UpperCamelCase					(  _A		):
		SCREAMING_SNAKE_CASE														=       "nystromformer"


		def __init__(self					:						Optional[Any]	,	__SCREAMING_SNAKE_CASE					:						Any=3_0_0_0_0	,	__SCREAMING_SNAKE_CASE					:						List[Any]=7_6_8	,	__SCREAMING_SNAKE_CASE					:						str=1_2	,	__SCREAMING_SNAKE_CASE					:						Dict=1_2	,	__SCREAMING_SNAKE_CASE					:						Optional[Any]=3_0_7_2	,	__SCREAMING_SNAKE_CASE					:						List[str]="gelu_new"	,	__SCREAMING_SNAKE_CASE					:						Optional[Any]=0.1	,	__SCREAMING_SNAKE_CASE					:						Tuple=0.1	,	__SCREAMING_SNAKE_CASE					:						Optional[Any]=5_1_0	,	__SCREAMING_SNAKE_CASE					:						str=2	,	__SCREAMING_SNAKE_CASE					:						str=6_4	,	__SCREAMING_SNAKE_CASE					:						List[Any]=6_4	,	__SCREAMING_SNAKE_CASE					:						List[str]=6_5	,	__SCREAMING_SNAKE_CASE					:						Optional[int]=False	,	__SCREAMING_SNAKE_CASE					:						Optional[Any]=0.0_2	,	__SCREAMING_SNAKE_CASE					:						List[Any]=1E-5	,	__SCREAMING_SNAKE_CASE					:						Any=1	,	__SCREAMING_SNAKE_CASE					:						List[Any]=0	,	__SCREAMING_SNAKE_CASE					:						Optional[Any]=2	,	**__SCREAMING_SNAKE_CASE					:						Any	,	):
							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     =   segment_means_seq_len
							A     =   num_landmarks
							A     =   conv_kernel_size
							A     =   inv_coeff_init_option
							A     =   layer_norm_eps
							super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE	,	bos_token_id=__SCREAMING_SNAKE_CASE	,	eos_token_id=__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE)








"""simple docstring"""




import sys

sys.set_int_max_str_digits(0)  # type: ignore
def   __SCREAMING_SNAKE_CASE		(		lowercase__ ):
					"""simple docstring"""
					A     =   [0] * 11
					A     =   [0] * 11

					# mark last 9 numbers
					for _ in range(9 ):
										A     =   1
										A     =   number // 10
					# flag
					A     =   True

					# check last 9 numbers for pandigitality

					for x in range(9 ):
										if not check_last[x + 1]:
															A     =   False
					if not f:
										return f

					# mark first 9 numbers
					A     =   int(str(lowercase__ )[:9] )

					for _ in range(9 ):
										A     =   1
										A     =   number // 10

					# check first 9 numbers for pandigitality

					for x in range(9 ):
										if not check_front[x + 1]:
															A     =   False
					return f
def   __SCREAMING_SNAKE_CASE		(		lowercase__ ):
					"""simple docstring"""
					A     =   [0] * 11

					# mark last 9 numbers
					for _ in range(9 ):
										A     =   1
										A     =   number // 10
					# flag
					A     =   True

					# check last 9 numbers for pandigitality

					for x in range(9 ):
										if not check_last[x + 1]:
															A     =   False
					return f
def   __SCREAMING_SNAKE_CASE		(		):
					"""simple docstring"""
					A     =   1
					A     =   1
					A     =   2
					# temporary Fibonacci numbers

					A     =   1
					A     =   1
					A     =   2
					# temporary Fibonacci numbers mod 1e9

					# mod m=1e9, done for fast optimisation
					A     =   [0] * 1_000_000
					A     =   1_000_000_000

					for x in range(1_000_000 ):
										A     =   (aa + ba) % m
										A     =   ba % m
										A     =   ca % m
										if checka(lowercase__ ):
															A     =   1

					for x in range(1_000_000 ):
										A     =   a + b
										A     =   b
										A     =   c
										# perform check only if in tocheck
										if tocheck[x + 3] and check(lowercase__ ):
															return x + 3  # first 2 already done
					return -1


if __name__ == "__main__":
	print(f"""{solution() = }""")





