def _ppf(self, q, skew):
        ans, q, transq, skew, mask, invmask, beta, alpha, zeta = (
            self._preprocess(q, skew))
        ans[mask] = _norm_ppf(q[mask])
        ans[invmask] = beta/special.gammaincinv(alpha, q[invmask]) + zeta
        return ans
dataset/ETHPy150Open scipy/scipy/scipy/stats/_continuous_distns.py/pearson3_gen._ppf/swapped operands of `/`