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.
"We've also got these big tanks full of oxygen and nitrogen, which are mixed to make air, and also water, so that we can provide everything that the astronauts need in the crew module to keep them alive on their journey."
，推荐阅读雷电模拟器官方版本下载获取更多信息
（三）国际运输服务、航天运输服务、对外修理修配服务。
Paige said: "I'm hoping that they will buy us out, it's the only option unfortunately and the best option."
theguardian.com