

from ... import PretrainedConfig


_SCREAMING_SNAKE_CASE					:  Union[str, Any]             =      {
    '''sijunhe/nezha-cn-base''': '''https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json''',
}






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  a									= NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
  a									= "nezha"






  def __init__(							self						:		Optional[int]     ,       __lowerCamelCase						:		int=2_1128     ,       __lowerCamelCase						:		str=768     ,       __lowerCamelCase						:		Any=12     ,       __lowerCamelCase						:		Union[str, Any]=12     ,       __lowerCamelCase						:		str=3072     ,       __lowerCamelCase						:		Any="gelu"     ,       __lowerCamelCase						:		List[Any]=0.1     ,       __lowerCamelCase						:		int=0.1     ,       __lowerCamelCase						:		Union[str, Any]=512     ,       __lowerCamelCase						:		Union[str, Any]=64     ,       __lowerCamelCase						:		Tuple=2     ,       __lowerCamelCase						:		Optional[Any]=0.02     ,       __lowerCamelCase						:		Dict=1e-12     ,       __lowerCamelCase						:		Any=0.1     ,       __lowerCamelCase						:		Optional[int]=0     ,       __lowerCamelCase						:		List[str]=2     ,       __lowerCamelCase						:		List[str]=3     ,       __lowerCamelCase						:		str=True     ,       **__lowerCamelCase						:		List[str]     ,       )		->							Tuple:
       super().__init__(pad_token_id=__lowerCamelCase     ,       bos_token_id=__lowerCamelCase     ,       eos_token_id=__lowerCamelCase     ,       **__lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   vocab_size
       SCREAMING_SNAKE_CASE__   =   hidden_size
       SCREAMING_SNAKE_CASE__   =   num_hidden_layers
       SCREAMING_SNAKE_CASE__   =   num_attention_heads
       SCREAMING_SNAKE_CASE__   =   hidden_act
       SCREAMING_SNAKE_CASE__   =   intermediate_size
       SCREAMING_SNAKE_CASE__   =   hidden_dropout_prob
       SCREAMING_SNAKE_CASE__   =   attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE__   =   max_position_embeddings
       SCREAMING_SNAKE_CASE__   =   max_relative_position
       SCREAMING_SNAKE_CASE__   =   type_vocab_size
       SCREAMING_SNAKE_CASE__   =   initializer_range
       SCREAMING_SNAKE_CASE__   =   layer_norm_eps
       SCREAMING_SNAKE_CASE__   =   classifier_dropout
       SCREAMING_SNAKE_CASE__   =   use_cache





from functools import reduce

_SCREAMING_SNAKE_CASE					:  Any             =      (
    '''73167176531330624919225119674426574742355349194934'''
    '''96983520312774506326239578318016984801869478851843'''
    '''85861560789112949495459501737958331952853208805511'''
    '''12540698747158523863050715693290963295227443043557'''
    '''66896648950445244523161731856403098711121722383113'''
    '''62229893423380308135336276614282806444486645238749'''
    '''30358907296290491560440772390713810515859307960866'''
    '''70172427121883998797908792274921901699720888093776'''
    '''65727333001053367881220235421809751254540594752243'''
    '''52584907711670556013604839586446706324415722155397'''
    '''53697817977846174064955149290862569321978468622482'''
    '''83972241375657056057490261407972968652414535100474'''
    '''82166370484403199890008895243450658541227588666881'''
    '''16427171479924442928230863465674813919123162824586'''
    '''17866458359124566529476545682848912883142607690042'''
    '''24219022671055626321111109370544217506941658960408'''
    '''07198403850962455444362981230987879927244284909188'''
    '''84580156166097919133875499200524063689912560717606'''
    '''05886116467109405077541002256983155200055935729725'''
    '''71636269561882670428252483600823257530420752963450'''
)
def     UpperCAmelCase_       (						_A = N    ):





     '''simple docstring'''




     return max(
         # mypy cannot properly interpret reduce
         int(reduce(lambda _A				,		_A    : str(int(_A    ) * int(_A    )    )				,		n[i : i + 13]    )    )
         for i in range(len(_A    ) - 12    )    )


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


