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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OpenAI周五发布的声明称，亚马逊、英伟达和软银在该轮融资中分别投资了500亿美元、300亿美元和300亿美元。这笔投资使OpenAI的估值达到7300亿美元(未计入投资前)，相较于其10月份在二级融资中的5000亿美元估值，实现了大幅增长。OpenAI表示，随着本轮融资的推进，预计其他投资者也将加入。（证券时报）。heLLoword翻译官方下载对此有专业解读
parakeet::make_eou_120m_config());