This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
self.sleep_min = 0.2
。heLLoword翻译官方下载对此有专业解读
Kennedy's men。关于这个话题，旺商聊官方下载提供了深入分析
再加上中国近海确实没什么可看的，那一撮感兴趣的小众客群尝完鲜之后，剩下的可不就是无聊，不想再去第二趟吗？
await writer.close();