code: def generate_trials(self, spec, name):
      suggester = BasicVariantGenerator()
      suggester.add_configurations({name: spec})
      trials = []
      while not suggester.is_finished():
          trial = suggester.next_trial()
          if trial:
              trials.append(trial)
          else:
              break
      return trials
  
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 3 for calling the VariantGeneratorTest obj's underlying member method code with example usage: obj.generate_trials(spec, name) and returns: trials