How does NumPy handle internal temporary buffers in ufunc execution?

ufuncs may allocate temporary buffers when input/output arrays overlap or broadcasting is needed.

During ufunc execution, NumPy ensures safe computation even when input and output memory overlap. It may allocate temporary buffers to avoid data corruption. This ensures correctness but introduces overhead. Buffer reuse strategies are applied internally to minimize allocations.