How does NumPy handle memory reuse optimization?

NumPy reuses buffers internally when possible to reduce allocations.

NumPy avoids unnecessary allocations by reusing temporary buffers in ufunc pipelines. This is especially important in chained operations. However, reuse depends on memory safety and dtype compatibility.