How does NumPy ensure correctness in overlapping memory operations?

NumPy uses temporary copies or buffering to prevent data corruption in overlapping memory operations.

When input and output arrays share memory regions, NumPy detects overlap and switches to safe execution strategies. It may allocate a temporary array to compute results before copying back, ensuring correctness at the cost of performance overhead.