How does NumPy handle numerical overflow and underflow?

NumPy follows IEEE rules where overflow wraps or becomes inf depending on dtype.

Integer overflow wraps around silently, while floating-point overflow results in inf or -inf. Underflow may produce denormalized numbers or zero. NumPy does not raise errors by default but provides warning controls.