code: def test_gen_candidates_scipy_warns_opt_no_res(self):
      ckwargs = {"dtype": torch.float, "device": self.device}
  
      test_ics = torch.rand(3, 1, **ckwargs)
      expected_msg = (
          "Optimization failed within `scipy.optimize.minimize` with no "
          "status returned to `res.`"
      )
      with mock.patch(
          "botorch.generation.gen.minimize_with_timeout"
      ) as mock_minimize, warnings.catch_warnings(record=True) as ws:
          mock_minimize.return_value = OptimizeResult(
              x=test_ics.cpu().numpy()
          )
  
          gen_candidates_scipy(
              initial_conditions=test_ics,
              acquisition_function=MockAcquisitionFunction(),
          )
      expected_warning_raised = any(
          (
              issubclass(w.category, OptimizationWarning)
              and expected_msg in str(w.message)
              for w in ws
          )
      )
      self.assertTrue(expected_warning_raised)
  
imports: import math
  import warnings
  from unittest import mock
  import torch
  from botorch.acquisition import qExpectedImprovement, qKnowledgeGradient
  from botorch.exceptions.warnings import OptimizationWarning
  from botorch.fit import fit_gpytorch_mll
  from botorch.generation.gen import gen_candidates_scipy, gen_candidates_torch, get_best_candidates
  from botorch.models import SingleTaskGP
  from botorch.utils.testing import BotorchTestCase, MockAcquisitionFunction
  from gpytorch import settings
  from gpytorch.mlls.exact_marginal_log_likelihood import ExactMarginalLogLikelihood
  from scipy.optimize import OptimizeResult
label_desc: Use image node_id 14 for calling the TestGenCandidates obj's underlying member method code with example usage: obj.test_gen_candidates_scipy_warns_opt_no_res() without return types