code: def test_tuner():
      """Test Droplet Tuner"""
  
      task, _ = get_sample_task()
      measure_option = autotvm.measure_option(
          builder=autotvm.LocalBuilder(), runner=DummyRunner()
      )
  
      # When no range index, range_length should be the length of config space
      tuner = autotvm.tuner.DropletTuner(task)
      assert len(tuner.best_choice) == 3
      assert tuner.execution == 1
      assert tuner.batch == 16
      assert tuner.total_execution == max(tuner.dims)
      assert tuner.step == 1
  
imports: from tvm.testing.autotvm import DummyRunner, get_sample_task, get_sample_records
  from tvm import autotvm
label_desc: Use image node_id 1 for calling a global function with example usage: test_tuner() without return types