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:
做显功与做潜功，反映了树政绩的一体两面。潜功重在管根本、积底蕴，是显功的前提和支撑；显功重在惠民生、增福祉，是潜功的结果和体现。党员干部树立和践行正确政绩观，必须处理好当前与长远、显绩与潜绩、个人得失与事业发展的关系，既聚焦当下，以显功回应时代之问、民生之呼，让发展成果可感可及、惠及人民；又着眼未来，以潜功积蓄未来之势、奠定兴盛之基，为党和人民事业发展赢得主动。
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Фото: Алексей Филиппов / РИА Новости
（六）违反规定不及时退还保证金的；