confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.
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（四）非法拦截或者强登、扒乘机动车、船舶、航空器以及其他交通工具，影响交通工具正常行驶的；，推荐阅读搜狗输入法下载获取更多信息
Across all three versions, there’s a mockToString or spoof helper. But the V3 implementation is subtly more robust than the V2 one, and it’s worth examining why.。同城约会对此有专业解读