



from functools import lru_cache

def    lowerCamelCase_(lowerCamelCase_    ) ->       set:
						UpperCAmelCase         =     2
						UpperCAmelCase         =     set()
						while i * i <= n:
												if n % i:
																		i += 1
												else:
																		n //= i
																		factors.add(lowerCamelCase_    )
						if n > 1:
												factors.add(lowerCamelCase_    )
						return factors

@lru_cache
def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						return len(unique_prime_factors(lowerCamelCase_    )    )

def    lowerCamelCase_(lowerCamelCase_    ) ->       bool:
						return len(set(lowerCamelCase_    )    ) in (0, 1)

def    lowerCamelCase_(lowerCamelCase_    ) ->       list:
						UpperCAmelCase         =     2

						while True:
												# Increment each value of a generated range
												UpperCAmelCase         =     [base + i for i in range(lowerCamelCase_    )]

												# Run elements through out unique_prime_factors function
												# Append our target number to the end.
												UpperCAmelCase         =     [upf_len(lowerCamelCase_    ) for x in group]
												checker.append(lowerCamelCase_    )

												# If all numbers in the list are equal, return the group variable.
												if equality(lowerCamelCase_    ):
																		return group

												# Increment our base variable by 1
												base += 1

def    lowerCamelCase_(lowerCamelCase_ = 4    ) ->       int:
						UpperCAmelCase         =     run(lowerCamelCase_    )
						return results[0] if len(lowerCamelCase_    ) else None


if __name__ == "__main__":
		print(solution())








from typing import TYPE_CHECKING

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


__lowerCamelCase     :							Optional[int]  							=				{
    "configuration_roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig"],
    "tokenization_roc_bert": ["RoCBertTokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		pass

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCamelCase     :							List[Any]  							=				[
		    "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "RoCBertForCausalLM",
		    "RoCBertForMaskedLM",
		    "RoCBertForMultipleChoice",
		    "RoCBertForPreTraining",
		    "RoCBertForQuestionAnswering",
		    "RoCBertForSequenceClassification",
		    "RoCBertForTokenClassification",
		    "RoCBertLayer",
		    "RoCBertModel",
		    "RoCBertPreTrainedModel",
		    "load_tf_weights_in_roc_bert",
		]

if TYPE_CHECKING:
		from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
		from .tokenization_roc_bert import RoCBertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				raise OptionalDependencyNotAvailable()

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_roc_bert import (
				    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    RoCBertForCausalLM,
				    RoCBertForMaskedLM,
				    RoCBertForMultipleChoice,
				    RoCBertForPreTraining,
				    RoCBertForQuestionAnswering,
				    RoCBertForSequenceClassification,
				    RoCBertForTokenClassification,
				    RoCBertLayer,
				    RoCBertModel,
				    RoCBertPreTrainedModel,
				    load_tf_weights_in_roc_bert,
				)


else:
		import sys

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



