





from __future__ import annotations






def 							_lowerCAmelCase (  _a   :					int			)	->			list[int]:
     lowerCAmelCase_					:       int    =		[True] * limit
     lowerCAmelCase_					:       Optional[Any]    =		False
     lowerCAmelCase_					:       int    =		False
     lowerCAmelCase_					:       Optional[int]    =		True

     for i in range(3					,   int(limit**0.5 + 1			)					,   2			):
          lowerCAmelCase_					:       Dict    =		i * 2
          while index < limit:
               lowerCAmelCase_					:       str    =		False
               lowerCAmelCase_					:       Dict    =		index + i

     lowerCAmelCase_					:       Dict    =		[2]

     for i in range(3					,   _a					,   2			):
          if is_prime[i]:
               primes.append(_a			)

     return primes






def 							_lowerCAmelCase (  _a   :					int = 1_00_00_00			)	->			int:
     lowerCAmelCase_					:       Dict    =		prime_sieve(_a			)
     lowerCAmelCase_					:       Any    =		0
     lowerCAmelCase_					:       List[str]    =		0

     for i in range(len(_a			)			):
          for j in range(i + length					,   len(_a			)			):
               lowerCAmelCase_					:       Optional[int]    =		sum(primes[i:j]			)
               if sol >= ceiling:
                    break

               if sol in primes:
                    lowerCAmelCase_					:       Union[str, Any]    =		j - i
                    lowerCAmelCase_					:       Any    =		sol

     return largest


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







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


UpperCAmelCase_					:   Tuple 							=						logging.get_logger(__name__)

UpperCAmelCase_					:   List[str] 							=						{
    """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      lowercase__    (							__A  ):
  __UpperCamelCase	     =  """fnet"""







  def __init__(	self    ,						_lowercase=32_000    ,						_lowercase=768    ,						_lowercase=12    ,						_lowercase=3_072    ,						_lowercase="gelu_new"    ,						_lowercase=0.1    ,						_lowercase=512    ,						_lowercase=4    ,						_lowercase=0.02    ,						_lowercase=1e-12    ,						_lowercase=False    ,						_lowercase=512    ,						_lowercase=3    ,						_lowercase=1    ,						_lowercase=2    ,						**_lowercase    ,						):
       super().__init__(pad_token_id=_lowercase    ,						bos_token_id=_lowercase    ,						eos_token_id=_lowercase    ,						**_lowercase						)

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