def _eval_func(self, x):
        """
        Performs sequential evaluations of the function at x (single location or batch). The computing time of each
        evaluation is also provided.
        """
        cost_evals = []
        f_evals     = np.empty(shape=[0, 1])

        for i in range(x.shape[0]):
            st_time    = time.time()
            rlt = self.func(np.atleast_2d(x[i]))
            f_evals     = np.vstack([f_evals,rlt])
            cost_evals += [time.time()-st_time]
        return f_evals, cost_evals
Performs sequential evaluations of the function at x (single location or batch). The computing time of each
        evaluation is also provided.