




from __future__ import annotations

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	int							)					-> list[int]:
      SCREAMING_SNAKE_CASE_							=			[True] * limit
      SCREAMING_SNAKE_CASE_							=			False
      SCREAMING_SNAKE_CASE_							=			False
      SCREAMING_SNAKE_CASE_							=			True

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

      SCREAMING_SNAKE_CASE_							=			[2]

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

      return primes

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	int = 1_00_00_00							)					-> int:
      SCREAMING_SNAKE_CASE_							=			prime_sieve(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			0
      SCREAMING_SNAKE_CASE_							=			0

      for i in range(len(__UpperCAmelCase							)							):
            for j in range(i + length			,			len(__UpperCAmelCase							)							):
                  SCREAMING_SNAKE_CASE_							=			sum(primes[i:j]							)
                  if sol >= ceiling:
                        break

                  if sol in primes:
                        SCREAMING_SNAKE_CASE_							=			j - i
                        SCREAMING_SNAKE_CASE_							=			sol

      return largest


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





import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


lowerCamelCase__ :   List[str]					=							logging.get_logger(__name__)





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 def __init__(							self  :		str				,				*_lowerCAmelCase  :		Optional[Any]				,				**_lowerCAmelCase  :		Optional[Any]						):
       warnings.warn(
           'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use ImageGPTImageProcessor instead.'				,				_lowerCAmelCase				,				)
       super().__init__(*_lowerCAmelCase				,				**_lowerCAmelCase						)