I have another layer with the FN keys and a bunch of macros to send characters that don't have their own keycodes, like em dash and en dash and bullets. I have Unicode macros on one side of the keyboard—for Linux and chromeOS—and alt-code macros mirrored on the other half of the keyboard for Windows.
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.
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首先，在公共模块中定义 expect 接口，作为跨平台的统一契约。这包括一个抽象字节数组类型和转换函数，通过扩展方法简化调用。，更多细节参见爱思助手下载最新版本
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