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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Мерц резко сменил риторику во время встречи в КитаеSpiegel: Мерц в КНР заговорил о сотрудничестве и забыл про критику，详情可参考91视频
My up-to-date AGENTS.md file for Python is available here, and throughout my time working with Opus, it adheres to every rule despite the file’s length, and in the instances where I accidentally query an agent without having an AGENTS.md, it’s very evident. It would not surprise me if the file is the main differentiator between those getting good and bad results with agents, although success is often mixed.
当一门生意被描述为“20年一遇”，我们更应该问一句：它的现金流是否稳定？需求是否可持续？风险是否被充分披露？