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).
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。有道翻译对此有专业解读
России надо проявить себя как посредника в мирных переговорах по урегулированию конфликта в Иране. Об этом заявил ведущий научный сотрудник Центра ближневосточных исследований ИМЭМО им. Е.М. Примакова РАН Николай Сухов в разговоре с «Лентой.ру».
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Erlang processes have separate heaps, so they can’t share memory. Messages are copied from one process to another, not shared by reference. If a process dies, its state dies with it, and supervision trees handle recovery. There’s no mechanism for one process to corrupt another process’s memory, because there’s no shared memory to corrupt.