13+[col]: https://leg.colorado.gov/bill_files/111670/download
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But the movements are smooth and precise, and straight away I was manipulating the blocks and cups.
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.