d430e92f1bc58b28567439a1028bc1697e7a7869,benchmarks/benchmarks/stats.py,ContinuousFitAnalyticalMLEOverride,setup,#ContinuousFitAnalyticalMLEOverride#Any#Any#Any#Any#Any#Any#,203

Before Change

        self.distn = self.distributions[dist_name]["self"]

        self.fixed = {}
        self.dict = self.distributions[dist_name]
        self.shapes = self.dict.get("fixed_shapes", {})
        // add fixed `loc` and `scale`
        all_parameters = [loc_fixed, scale_fixed, shape1_fixed, shape2_fixed,
                          shape3_fixed]
        nparam = (len(self.distn.shapes.replace(",", " ").split())

After Change

        // use custom input or default loc, scale, and shape.
        // default shapes are from `_distr_params.py`
        default_shapes = [i for i in distcont if i[0] == dist_name][0][1]
        param_value = self.custom_input.get(dist_name, [.834, 4.342,
                                                        *default_shapes])

        // add fixed values if fixed in relevant_parameters to self.fixed
        // with keys from self.fnames and values from parameter_values
        self.fixed = {key: value for i, (key, value)
                      in enumerate(zip(self.fnames, param_value))
                      if relevant_parameters[i]}
        self.data = self.distn.rvs(*param_value, size=10000)

Instances