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:
// 创建 MCP Server
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“十五五”时期，是过渡期结束后转向常态化帮扶的新阶段。今年中央一号文件，首次系统性部署实施常态化精准帮扶。
В Санкт-Петербурге из земли внезапно забил фонтан из-за аварии. Внимание на это обратил Telegram-канал «Фонтанка SPB Online».