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.
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In short, a proper module is a black box, responsible for an independent flow (i.e. process). Other modules act upon it via its programming API (i.e. calls to class methods). And it doesn’t allow other modules to query its datasource directly (by bypassing the API).