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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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Медведев вышел в финал турнира в Дубае17:59
// 易错点：升序排序会导致逻辑完全错误（无法判断后车是否追前车）
上海建国东路一家冷鲜肉店铺一度动起了“跨界”的主意。为拓展消费群体，吸引来去匆匆的上班族，店里想尝试卖蒸包子。