






from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin
class 							A_    (						UpperCamelCase__ ,   UpperCamelCase__			):






 '''simple docstring'''




 @register_to_config
 def __init__(	self							,  _A = 768							,  ) ->		List[str]:

     """simple docstring"""



     super().__init__()

     _UpperCAmelCase				:      Tuple			  =				nn.Parameter(torch.zeros(1							,  __A))
     _UpperCAmelCase				:      List[Any]			  =				nn.Parameter(torch.ones(1							,  __A))


 def  snake_case__				(	self							,  _A = None							,  _A = None							,  ) ->		Optional[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Union[str, Any]			  =				nn.Parameter(self.mean.to(__A).to(__A))
     _UpperCAmelCase				:      Dict			  =				nn.Parameter(self.std.to(__A).to(__A))
     return self


 def  snake_case__				(	self							,  _A) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      List[str]			  =				(embeds - self.mean) * 1.0 / self.std
     return embeds


 def  snake_case__				(	self							,  _A) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				(embeds * self.std) + self.mean
     return embeds












from __future__ import annotations

def      _lowerCamelCase	(						__A    :							int )      ->					list[int]:
    _UpperCAmelCase				:      List[str]			  =				[True] * limit
    _UpperCAmelCase				:      Optional[int]			  =				False
    _UpperCAmelCase				:      Dict			  =				False
    _UpperCAmelCase				:      List[str]			  =				True

    for i in range(3		,		int(limit**0.5 + 1 )		,		2 ):
        _UpperCAmelCase				:      List[str]			  =				i * 2
        while index < limit:
            _UpperCAmelCase				:      Union[str, Any]			  =				False
            _UpperCAmelCase				:      int			  =				index + i

    _UpperCAmelCase				:      Optional[int]			  =				[2]

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

    return primes

def      _lowerCamelCase	(						__A    :							int = 1_000_000 )      ->					int:
    _UpperCAmelCase				:      Any			  =				prime_sieve(__A )
    _UpperCAmelCase				:      Optional[Any]			  =				0
    _UpperCAmelCase				:      Tuple			  =				0

    for i in range(len(__A ) ):
        for j in range(i + length		,		len(__A ) ):
            _UpperCAmelCase				:      List[Any]			  =				sum(primes[i:j] )
            if sol >= ceiling:
                break

            if sol in primes:
                _UpperCAmelCase				:      List[str]			  =				j - i
                _UpperCAmelCase				:      Optional[Any]			  =				sol

    return largest


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




