I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
void selectionSort(int arr[], int n) {
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Unlike the Mini 12, the Evo comes with a few extra features that can help you capture better photos. For example, you can disable the flash, leverage the 3-inch LCD screen as a viewfinder, and adjust the brightness of a print — a helpful feature, given Evo doesn’t capture dark environments well. The camera’s dials also let you apply various lens options and effects, from retro filters to monochrome shades, and you can even take app-based remote shots, allowing for better seflies and more photographic control.
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const cur = val; // 简化变量名，代表当前价格。同城约会是该领域的重要参考