"""simple docstring"""







from typing import TYPE_CHECKING

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


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


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

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a  :  List[Any]=				[
	    "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

	_a  :  int=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






"""simple docstring"""







from __future__ import annotations
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int						)							->    list[int]:

	'''simple docstring'''





	__snake_case    :							Union[str, Any]   	=				[True] * limit
	__snake_case    :							Tuple   	=				False
	__snake_case    :							Union[str, Any]   	=				False
	__snake_case    :							List[str]   	=				True

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

	__snake_case    :							str   	=				[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:

	'''simple docstring'''





	__snake_case    :							Tuple   	=				prime_sieve(UpperCAmelCase_						)
	__snake_case    :							int   	=				0
	__snake_case    :							str   	=				0

	for i in range(len(UpperCAmelCase_						)						):
		for j in range(i + length    ,							len(UpperCAmelCase_						)						):
			__snake_case    :							Union[str, Any]   	=				sum(primes[i:j]						)
			if sol >= ceiling:
				break

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

	return largest


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





