



'''simple docstring'''





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


__a  			=						logging.get_logger(__name__)

__a  			=						{
    "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
    "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/config.json"
    # See all FNet models at https://huggingface.co/models?filter=fnet
}







class        UpperCAmelCase_			(			_a      ):
    """simple docstring"""







    lowercase   =						"fnet"




    def __init__(       self   :	Tuple					,	snake_case_   :	int=32_000					,	snake_case_   :	List[Any]=768					,	snake_case_   :	int=12					,	snake_case_   :	Dict=3_072					,	snake_case_   :	int="gelu_new"					,	snake_case_   :	Optional[int]=0.1					,	snake_case_   :	str=512					,	snake_case_   :	List[str]=4					,	snake_case_   :	List[str]=0.02					,	snake_case_   :	Optional[int]=1E-1_2					,	snake_case_   :	Any=False					,	snake_case_   :	List[str]=512					,	snake_case_   :	int=3					,	snake_case_   :	Optional[int]=1					,	snake_case_   :	Union[str, Any]=2					,	**snake_case_   :	Optional[int]					,	):
          super().__init__(pad_token_id=snake_case_					,	bos_token_id=snake_case_					,	eos_token_id=snake_case_					,	**snake_case_		)

          snake_case__    :       int       		= vocab_size
          snake_case__    :       int       		= max_position_embeddings
          snake_case__    :       List[str]       		= hidden_size
          snake_case__    :       List[str]       		= num_hidden_layers
          snake_case__    :       List[Any]       		= intermediate_size
          snake_case__    :       Optional[int]       		= hidden_act
          snake_case__    :       Optional[int]       		= hidden_dropout_prob
          snake_case__    :       Union[str, Any]       		= initializer_range
          snake_case__    :       List[Any]       		= type_vocab_size
          snake_case__    :       List[str]       		= layer_norm_eps
          snake_case__    :       List[Any]       		= use_tpu_fourier_optimizations
          snake_case__    :       int       		= tpu_short_seq_length





'''simple docstring'''





import sys

__a  			=						(
    "73167176531330624919225119674426574742355349194934"
    "96983520312774506326239578318016984801869478851843"
    "85861560789112949495459501737958331952853208805511"
    "12540698747158523863050715693290963295227443043557"
    "66896648950445244523161731856403098711121722383113"
    "62229893423380308135336276614282806444486645238749"
    "30358907296290491560440772390713810515859307960866"
    "70172427121883998797908792274921901699720888093776"
    "65727333001053367881220235421809751254540594752243"
    "52584907711670556013604839586446706324415722155397"
    "53697817977846174064955149290862569321978468622482"
    "83972241375657056057490261407972968652414535100474"
    "82166370484403199890008895243450658541227588666881"
    "16427171479924442928230863465674813919123162824586"
    "17866458359124566529476545682848912883142607690042"
    "24219022671055626321111109370544217506941658960408"
    "07198403850962455444362981230987879927244284909188"
    "84580156166097919133875499200524063689912560717606"
    "05886116467109405077541002256983155200055935729725"
    "71636269561882670428252483600823257530420752963450"
)





def 		__snake_case(							_lowerCAmelCase = N						)						->					int:
      snake_case__    :       Dict       		= -sys.maxsize - 1
      for i in range(len(_lowerCAmelCase						) - 12						):
            snake_case__    :       Any       		= 1
            for j in range(13						):
                  product *= int(n[i + j]						)
            if product > largest_product:
                  snake_case__    :       List[str]       		= product
      return largest_product


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