BUG: core: ensure __r*__ has precedence over __numpy_ufunc__

Add a special case to the implementation of ndarray.__mul__ et al. that
refuses to work on other objects that are not ndarray subclasses and
implement both __numpy_ufunc__ and __r*__.

This way, execution passes first to the custom __r*__ method, which
makes it possible to have e.g. __mul__ and np.multiply do different
things.

Additionally, disable one __array_priority__ special case handling when
also __numpy_ufunc__ is defined.