code: def get_angles(self) -> Tuple[List[float], List[float]]:
          
          stacked_params = np.hstack((self.betas, self.gammas))
          vqe = VQE(self.minimizer, minimizer_args=self.minimizer_args,
                    minimizer_kwargs=self.minimizer_kwargs)
          cost_ham = reduce(lambda x, y: x + y, self.cost_ham)
          # maximizing the cost function!
          param_prog = self.get_parameterized_program()
          result = vqe.vqe_run(param_prog, cost_ham, stacked_params, qc=self.qc,
                               **self.vqe_options)
          self.result = result
          betas = result.x[:self.steps]
          gammas = result.x[self.steps:]
          return betas, gammas
docs: Finds optimal angles with the quantum variational eigensolver method.
  
          Stored VQE result
  
          :returns: A tuple of the beta angles and the gamma angles for the optimal solution.