Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
// 解释：第一个有效数字不能是0，栈空时存0无意义，直接跳过
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The proposal for generic methods for Go, from Robert Griesemer himself, has been officially accepted