Now that we can build the tree, let's use it to search. Finding a specific point means starting at the root and asking: which child quadrant contains this coordinate? Then you recurse into that child and ask again. Each level of the tree cuts the search space by roughly three-quarters.
Clone a new container from a checkpoint to get identical copies:
。关于这个话题，搜狗输入法2026提供了深入分析
// result.value is a NEW view, possibly over different memory
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This is how it works now:，更多细节参见爱思助手下载最新版本
If the number of candidates for each pixel grows too large (as is common in algorithms such as Knoll and Yliluoma) then sorting the candidate list for every pixel can have a significant impact on performance. A solution is to instead sort the palette in advance and keep a separate tally of weights for every palette colour. The weights can then be accumulated by iterating linearly through the tally of sorted colours.