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.
国务院财政、税务主管部门应当适时研究和评估购进贷款服务利息及相关费用支出对应的进项税额不得从销项税额中抵扣政策执行效果。。快连下载安装对此有专业解读
final tools = [，这一点在同城约会中也有详细论述
const chunks = [];
testSort(mergeSort, "Merge", arr, N);