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.
董哲：我们把目光和笔触对准这样一个混乱时期、无底线的时期，是非对错尤其重要。
，详情可参考新收录的资料
FT Digital Edition: our digitised print edition，这一点在新收录的资料中也有详细论述
This works. From my tests with the algorithms, Codex can often speed up the algorithm by 1.5x-2x, then Opus somehow speeds up that optimized code again to a greater degree. This has been the case of all the Rust code I’ve tested: I also ran the icon-to-image and the word cloud crates through this pipeline and gained 6x cumulative speed increases in both libraries.
// It is a promise that, when resolves, indicates that