How does NumPy handle internal error handling and floating point exceptions?

NumPy controls floating-point errors using configurable error state handling.

NumPy provides np.seterr() to control how floating-point errors like divide-by-zero, overflow, or invalid operations are handled. Internally, it relies on IEEE floating-point flags and can switch between ignore, warn, raise, or call behaviors.