code: def testDependentGridSearchCallable(self):
      class Normal:
          def __call__(self, _config):
              return random.normalvariate(mu=0, sigma=1)
  
      class Single:
          def __call__(self, _config):
              return 20
  
      trials = self.generate_trials(
          {
              "run": "PPO",
              "config": {
                  "x": grid_search(
                      [
                          tune.sample_from(Normal()),
                          tune.sample_from(Normal()),
                      ]
                  ),
                  "y": tune.sample_from(Single()),
              },
          },
          "dependent_grid_search",
      )
      trials = list(trials)
      self.assertEqual(len(trials), 2)
      self.assertEqual(trials[0].config["y"], 20)
      self.assertEqual(trials[1].config["y"], 20)
  
imports: import os
  import numpy
  import random
  import unittest
  import ray
  from ray.rllib import _register_all
  from ray import tune
  from ray.tune.result import DEFAULT_RESULTS_DIR
  from ray.tune.search import grid_search, BasicVariantGenerator
  from ray.tune.search.variant_generator import RecursiveDependencyError, _resolve_nested_dict
label_desc: Use image node_id 11 for calling the VariantGeneratorTest obj's underlying member method code with example usage: obj.testDependentGridSearchCallable() and returns: random, int