






def 				A	(			a_ = 20   )	->		int:

					try:
										__UpperCamelCase :   str									=int(a_   )
					except (TypeError, ValueError):
										raise TypeError('Parameter n must be int or castable to int.'   )
					if n <= 0:
										raise ValueError('Parameter n must be greater than or equal to one.'   )
					__UpperCamelCase :   Dict									=0
					while 1:
										i += n * (n - 1)
										__UpperCamelCase :   Optional[int]									=0
										for j in range(2				,a_   ):
															if i % j != 0:
																				__UpperCamelCase :   Optional[int]									=1
																				break
										if nfound == 0:
															if i == 0:
																				__UpperCamelCase :   Optional[Any]									=1
															return i
					return None


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









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_			:Union[str, Any]	    =		{'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A_			:Optional[Any]	    =		[
							    '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''NatForImageClassification''',
							    '''NatModel''',
							    '''NatPreTrainedModel''',
							    '''NatBackbone''',
							]

if TYPE_CHECKING:
							from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_nat import (
														    NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    NatBackbone,
														    NatForImageClassification,
														    NatModel,
														    NatPreTrainedModel,
														)

else:
							import sys

							A_			:Tuple	    =		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

