def initialize(self, rng=None):
        self.Z = self.context_fkt()
        if rng is None:
            self.rng = np.random.RandomState(42)
        else:
            self.rng = rng
        # Draw one random configuration
        self.X = np.concatenate(
            (self.Z, np.array([self.rng.uniform(self.S_lower, self.S_upper, self.dims_S)])), 1)
        print (str(self.X[0])) % "Evaluate randomly chosen candidate %s"
        self.Y = self.objective_fkt(self.X)
        print "Configuration achieved a performance of %f " % (self.Y[0])
dataset/ETHPy150Open automl/RoBO/robo/solver/contextual_bayesian_optimization.py/ContextualBayesianOptimization.initialize/swapped operands of `%`