小规模纳税人符合增值税法第九条第二款规定的，可以向主管税务机关办理一般纳税人登记，并自办理登记的当期起按照一般计税方法计算缴纳增值税。
GBDT (tree-boosting algorithm): 1.1x-1.5x faster fit/predict than the treeboost Rust crate2, 24-42x faster fit/1-5x faster predict than Python’s xgboost，更多细节参见爱思助手下载最新版本
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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: