code: def test_gen_candidates_scipy_maxiter_behavior(self):
      # Check that no warnings are raised & log produced on hitting maxiter.
      for method in ("SLSQP", "L-BFGS-B"):
          with warnings.catch_warnings(
              record=True
          ) as ws, self.assertLogs("botorch", level="INFO") as logs:
              self.test_gen_candidates(
                  options={"maxiter": 1, "method": method}
              )
          self.assertFalse(
              any(
                  issubclass(w.category, OptimizationWarning)
                  for w in ws
              )
          )
          self.assertTrue("iteration limit" in logs.output[-1])
      # Check that we handle maxfun as well.
      with warnings.catch_warnings(record=True) as ws, self.assertLogs(
          "botorch", level="INFO"
      ) as logs:
          self.test_gen_candidates(
              options={
                  "maxiter": 100,
                  "maxfun": 1,
                  "method": "L-BFGS-B",
              }
          )
      self.assertFalse(
          any(issubclass(w.category, OptimizationWarning) for w in ws)
      )
      self.assertTrue("function evaluation limit" in logs.output[-1])
  
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 11 for calling the TestGenCandidates obj's underlying member method code with example usage: obj.test_gen_candidates_scipy_maxiter_behavior() without return types