How to use the openjij.sampler.Response function in openjij

def _sampling(self, king_graph, var_type, token):
        indices = king_graph.indices
        response = Response(var_type=var_type, indices=indices)
        headers, request = self.make_json_request(king_graph.get_ising_king_graph(), token)
        
        url = 'https://annealing-cloud.com/api/v2/solve'
        res = requests.post(url, data=json.dumps(request), headers=headers)
        res_dict = res.json()
        
        if res_dict['status'] != 0:
            raise ValueError('Error status: {}, message: {}'.format(res_dict['status'], res_dict['message']))
            
        if var_type == "SPIN":
            response.states = [[s for x, y, s in spins] for spins in res_dict['result']['spins']]
        else: #qubo
            response.states = [[int((s+1)/2) for x, y, s in spins] for spins in res_dict['result']['spins']]
        response.indices = [king_graph.convert_to_index(x, y) for x, y, s in res_dict['result']['spins'][0]]
        response.energies = np.array(res_dict['result']['energies']) + king_graph.energy_bias