这一幕，正是秘鲁过去十年政治现实的缩影：在总统频繁更替、权力博弈不断的背景下，政策与人事反复摇摆，制度预期愈发不稳。
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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.