Жители Санкт-Петербурга устроили «крысогон»17:52
阿爸第一次回那边认祖，还是十岁那年。当时，他的亲姐姐出嫁，家里人托人带话，让他回去。他记不清那天都有谁在场，也记不清屋子长什么样。只记得婚礼上的糖果很甜。他说那天分到好几颗，舍不得一次吃完，揣在口袋里，回来慢慢吃。
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[ anyVar isNil ifTrue: anyBlock ] bpattern with: [ anyVar ] -> [:pattern | pattern beVariable ]
This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.