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Feedback on long-term code maintainability covers 50 % of code review

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2026-03-10: Rewrote the NumPy constraints paragraph. The original listed "irregular access patterns, conditionals per element, recursive structures" as things NumPy can't handle. Two of those were wrong: NumPy fancy indexing handles irregular access fine (22x faster than Python on random gather), and np.where handles conditionals (2.8-15.5x faster on 1M elements, even though it computes both branches). Replaced with things NumPy actually can't help with: sequential dependencies (n-body with 5 bodies is 2.3x slower with NumPy), recursive structures, and small arrays (NumPy loses below ~50 elements due to per-call overhead).。关于这个话题,WPS极速下载页提供了深入分析

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But it’d have been nice for it to perhaps challenge me on that.

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孙亮,资深行业分析师,长期关注行业前沿动态,擅长深度报道与趋势研判。

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