
from __future__ import annotations


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   int					=				[True] * limit
      UpperCamelCase__    :   Dict					=				False
      UpperCamelCase__    :   int					=				False
      UpperCamelCase__    :   Any					=				True

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

      UpperCamelCase__    :   Union[str, Any]					=				[2]

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

      return primes


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ = 1_0_0_0_0_0_0		):
      UpperCamelCase__    :   Tuple					=				prime_sieve(UpperCamelCase__		)
      UpperCamelCase__    :   Dict					=				0
      UpperCamelCase__    :   str					=				0

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

                  if sol in primes:
                        UpperCamelCase__    :   Optional[int]					=				j - i
                        UpperCamelCase__    :   str					=				sol

      return largest


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




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCamelCase      ={"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "SwinForImageClassification",
        "SwinForMaskedImageModeling",
        "SwinModel",
        "SwinPreTrainedModel",
        "SwinBackbone",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFSwinForImageClassification",
        "TFSwinForMaskedImageModeling",
        "TFSwinModel",
        "TFSwinPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwinBackbone,
            SwinForImageClassification,
            SwinForMaskedImageModeling,
            SwinModel,
            SwinPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )

else:
    import sys

    lowerCamelCase      =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


