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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数据录入员和数据库架构师在这个维度上排名靠前。前者虽然只有两项核心任务落在 Claude 的能力范围内，但其中一项恰好是他们花时间最多的工作——从源文档读取并录入数据。
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// 步骤3：遍历排序后的位置，统计独立车队
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