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// 步骤2：按位置降序排序（离终点越近的车越先处理）
，更多细节参见雷电模拟器官方版本下载
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:
Founders today are conditioned to believe venture capital is the ultimate milestone — a rite of passage into “real” entrepreneurship.
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