code: def test_hyperparameters_str():
      expected_config = dict(hyperparameters="very_light")
      actual_config = (
          ConfigBuilder().hyperparameters("very_light").build()
      )
      assert actual_config == expected_config
  
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 9 for calling a global function with example usage: test_hyperparameters_str() without return types