code: def test_replication_sobol_synthetic(self) -> None:
      method = get_sobol_benchmark_method()
      problem = get_single_objective_benchmark_problem()
      res = benchmark_replication(
          problem=problem, method=method, seed=0
      )
  
      self.assertEqual(
          min(
              problem.num_trials,
              not_none(method.scheduler_options.total_trials),
          ),
          len(not_none(res.experiment).trials),
      )
  
      self.assertTrue(np.isfinite(res.score_trace).all())
      self.assertTrue(np.all(res.score_trace <= 100))
  
imports: import tempfile
  import numpy
  from ax.benchmark.benchmark import benchmark_multiple_problems_methods, benchmark_one_method_problem, benchmark_replication
  from ax.benchmark.benchmark_method import BenchmarkMethod, get_sequential_optimization_scheduler_options
  from ax.benchmark.benchmark_problem import SingleObjectiveBenchmarkProblem
  from ax.benchmark.benchmark_result import BenchmarkResult
  from ax.benchmark.methods.modular_botorch import get_sobol_botorch_modular_acquisition
  from ax.benchmark.problems.registry import get_problem
  from ax.modelbridge.modelbridge_utils import extract_search_space_digest
  from ax.service.utils.scheduler_options import SchedulerOptions
  from ax.storage.json_store.load import load_experiment
  from ax.storage.json_store.save import save_experiment
  from ax.utils.common.testutils import TestCase
  from ax.utils.common.typeutils import not_none
  from ax.utils.testing.benchmark_stubs import get_moo_surrogate, get_multi_objective_benchmark_problem, get_single_objective_benchmark_problem, get_sobol_benchmark_method, get_soo_surrogate
  from ax.utils.testing.core_stubs import get_dataset, get_experiment
  from ax.utils.testing.mock import fast_botorch_optimize
  from botorch.acquisition.logei import qLogNoisyExpectedImprovement
  from botorch.acquisition.multi_objective.monte_carlo import qNoisyExpectedHypervolumeImprovement
  from botorch.models.fully_bayesian import SaasFullyBayesianSingleTaskGP
  from botorch.models.gp_regression import FixedNoiseGP, SingleTaskGP
  from botorch.test_functions.synthetic import Branin
label_desc: Use image node_id 3 for calling the TestBenchmark obj's underlying member method code with example usage: obj.test_replication_sobol_synthetic() without return types