code: def test_num_stack_levels():
      assert ConfigBuilder().num_stack_levels(0).build() == dict(
          num_stack_levels=0
      )
      with pytest.raises(
          AssertionError,
          match=r"num_stack_levels must be greater or equal than zero",
      ):
          ConfigBuilder().num_stack_levels(-1).build()
  
imports: import numpy
  import pytest
  from sklearn.feature_extraction.text import CountVectorizer
  from autogluon.features import TextNgramFeatureGenerator
  from autogluon.tabular.configs.config_helper import ConfigBuilder, FeatureGeneratorBuilder
  from autogluon.tabular.models import KNNModel
label_desc: Use image node_id 16 for calling a global function with example usage: test_num_stack_levels() without return types