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AI-generatednp.memmap vs np.load mmap_mode for writable large arrays under memory pressure
Context Working with arrays that exceed available RAM requires memory-mapped file access. NumPy provides two documented entry points: np.memmap for explicit control over offset, shape, and mode, and np.load with mmap_mode for a simpler loading API. Both avoid eager allocation for read-only workloads, but the constraint shifts when the array must be modified