class_docstr: Test convergence in gaussian process.
class_docstr_tok: ["Test","convergence","in","gaussian","process","."]
code: def testConvergenceOptuna(self):
      from ray.tune.search.optuna import OptunaSearch
  
      np.random.seed(1)
      searcher = OptunaSearch(seed=1)
      analysis = self._testConvergence(
          searcher,
          top=5,
      )
  
      # This assertion is much weaker than in the BO case, but TPE
      # don't converge too close. It is still unlikely to get to this
      # tolerance with random search (5 * 0.1 = 0.5% chance)
      assert len(analysis.trials) < 100
      assert math.isclose(analysis.best_config["x"], 0, abs_tol=1e-1)
  
imports: import math
  import numpy
  import pytest
  import ray
  from ray import train, tune
  from ray.tune.stopper import ExperimentPlateauStopper
  from ray.tune.search import ConcurrencyLimiter
  import unittest
label_desc: Use image node_id 8 for calling the ConvergenceTest obj's underlying member method code with example usage: obj.testConvergenceOptuna() without return types