def transform_search_space()

in ax/modelbridge/transforms/unit_x.py [0:0]


    def transform_search_space(self, search_space: SearchSpace) -> SearchSpace:
        for p_name, p in search_space.parameters.items():
            if p_name in self.bounds and isinstance(p, RangeParameter):
                p.update_range(
                    lower=normalize_value(p.lower, self.bounds[p_name]),
                    upper=normalize_value(p.upper, self.bounds[p_name]),
                )
            if p.target_value is not None:
                p._target_value = normalize_value(
                    p.target_value, self.bounds[p_name]  # pyre-ignore[6]
                )
        new_constraints: List[ParameterConstraint] = []
        for c in search_space.parameter_constraints:
            constraint_dict: Dict[str, float] = {}
            bound = float(c.bound)
            for p_name, w in c.constraint_dict.items():
                # p is RangeParameter, but may not be transformed (Int or log)
                if p_name in self.bounds:
                    l, u = self.bounds[p_name]
                    constraint_dict[p_name] = w * (u - l)
                    bound -= w * l
                else:
                    constraint_dict[p_name] = w
            new_constraints.append(
                ParameterConstraint(constraint_dict=constraint_dict, bound=bound)
            )
        search_space.set_parameter_constraints(new_constraints)
        return search_space