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This results in 5 358 satisfiable (at least one input rejected by the regex but accepted by the input type email), 271 unsat (rejects the same strings as input type email). Examples after validation on node.js regex engine include:
。业内人士推荐同城约会作为进阶阅读
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
args, err := getopt.Getopt(osArgs, func(opt *getopt.Option) error {
Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.