For the test to be fair for LLMs, the SAT instance should be reasonably large, but not too big. I can't just give SAT problems with thousands of variables. But also it shouldn't be too easy.
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Like the N-closest algorithm, the weight of each candidate is given by the inverse of its distance to the input colour. Because of this, both algorithms produce output of a similar quality, although the N-convex method is measurably faster. As with the last algorithm, more details can be found in the original paper[2].，更多细节参见服务器推荐
“一时火”，靠创新举措；“一直火”，还需多措并举、综合发力。推动入境消费高质量发展，既为我国经济注入持久动能，也带动人文交流不断升温，让境外游客感受一个真实、立体、全面的中国。