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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:
，更多细节参见WPS下载最新地址
- Write a comprehensive Python test suite using `pytest`.
「當你找到同齡、為耶穌燃燒熱情、同樣投入尋找的人，那真的很激勵人心、很鼓舞，而且讓你知道自己不是孤軍奮戰。」