posterior / goftests

        else:

            params = self.params

        return params

    def test_mixed_density_goodness_of_fit(self):

        for param in self.dist_params():

            dim = get_dim(self.dist.rvs(*param, size=2)[0])

            sample_count = NUM_BASE_SAMPLES + NUM_SAMPLES_SCALE * dim

            samples = self.dist.rvs(*param, size=sample_count)

            samples = list(map(self._sample_postprocessing, samples))

            probabilities = [self.pdf(sample, *param) for sample in samples]

            gof = mixed_density_goodness_of_fit(samples, probabilities)

            self.assertGreater(gof, TEST_FAILURE_RATE)

    def test_good_fit(self):

        By default, this is a no-op, but subclasses may wish to override

        this method to modify sample in some way.

        """

        return sample

    def dist_params(self):

        # If there are no parameters, then we provide a random one.

        if self.params is None:

            params = [tuple(1 + rand(self.dist.numargs))]

        else:

            params = self.params

        return params

    def test_mixed_density_goodness_of_fit(self):