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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The FTC said discrepancies between the pay the company told drivers they could expect and what they actually received arose consistently in certain scenarios, such as when the company split up customer orders into multiple deliveries or changed how packages were distributed among delivery jobs.
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