

"""simple docstring"""






def  UpperCamelCase   (     _lowerCAmelCase       :  List[str] = 20	)			->     Union[str, Any]:

	try:
		_UpperCAmelCase      :							Optional[Any]       =   int(SCREAMING_SNAKE_CASE_	)
	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      :							List[Any]       =   0
	while 1:
		i += n * (n - 1)
		_UpperCAmelCase      :							Dict       =   0
		for j in range(2,					SCREAMING_SNAKE_CASE_	):
			if i % j != 0:
				_UpperCAmelCase      :							int       =   1
				break
		if nfound == 0:
			if i == 0:
				_UpperCAmelCase      :							List[Any]       =   1
			return i
	return None


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








"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__			:					int							  =					{'''configuration_qdqbert''': ['''QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''QDQBertConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			:					Optional[int]							  =					[
						    '''QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''QDQBertForMaskedLM''',
						    '''QDQBertForMultipleChoice''',
						    '''QDQBertForNextSentencePrediction''',
						    '''QDQBertForQuestionAnswering''',
						    '''QDQBertForSequenceClassification''',
						    '''QDQBertForTokenClassification''',
						    '''QDQBertLayer''',
						    '''QDQBertLMHeadModel''',
						    '''QDQBertModel''',
						    '''QDQBertPreTrainedModel''',
						    '''load_tf_weights_in_qdqbert''',
						]


if TYPE_CHECKING:
						from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_qdqbert import (
												    QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    QDQBertForMaskedLM,
												    QDQBertForMultipleChoice,
												    QDQBertForNextSentencePrediction,
												    QDQBertForQuestionAnswering,
												    QDQBertForSequenceClassification,
												    QDQBertForTokenClassification,
												    QDQBertLayer,
												    QDQBertLMHeadModel,
												    QDQBertModel,
												    QDQBertPreTrainedModel,
												    load_tf_weights_in_qdqbert,
												)


else:
						import sys

						lowerCamelCase__			:					Optional[Any]							  =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





