def _munp(self, n, dfn, dfd, nc):
        val = (dfn * 1.0/dfd)**n
        term = gamln(n+0.5*dfn) + gamln(0.5*dfd-n) - gamln(dfd*0.5)
        val *= exp(2.0 / -nc+term)
        val *= special.hyp1f1(n+0.5*dfn, 0.5*dfn, 0.5*nc)
        return val
dataset/ETHPy150Open scipy/scipy/scipy/stats/_continuous_distns.py/ncf_gen._munp/swapped operands of `/`