There's a tradeoff: a lower capacity means you can skip more space during queries (you zoom in faster), but the tree has more nodes and uses more memory. A higher capacity means fewer nodes but each node requires checking more points linearly. As a starting point, capacities between 4 and 16 are reasonable defaults, though the best value depends on your data distribution and query patterns.
If you reassign the variable, e.g nums = append(nums, 16), that’s a different story can of worms entirely. ↩︎
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// 易错点3：忘记stack.length判断 → 访问stack[-1]会报错
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A day before announcing OpenAI’s newest $110 billion funding round, OpenAI CEO Sam Altman took to X to comment on how even non-technical people can contribute to the development of AI, or at least at his company. One of the best ways for these non-technical candidates to get their foot in the door is through research recruiting, Altman said.
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