cc8d44286f1f82afa96283992b6a1dab908b36d2,scipy/stats/_continuous_distns.py,gennorm_gen,_stats,#gennorm_gen#Any#,4463

Before Change

        return -self._ppf(x, beta)

    def _stats(self, beta):
        c1 = special.gammaln(1. / beta)
        c3 = special.gammaln(3. / beta)
        c5 = special.gammaln(5. / beta)
        return 0., exp(c3 - c1), 0., exp(c5 + c1 - 2. * c3) - 3.

After Change

        return -self._ppf(x, beta)

    def _stats(self, beta):
        c1, c3, c5 = special.gammaln([1./beta, 3./beta, 5./beta])
        return 0., np.exp(c3 - c1), 0., np.exp(c5 + c1 - 2. * c3) - 3.

    def _entropy(self, beta):
        return 1. / beta - np.log(.5 * beta) + special.gammaln(1. / beta)

Instances