code: def test_time_limit():
      expected_config = dict(time_limit=10)
      actual_config = ConfigBuilder().time_limit(10).build()
      assert actual_config == expected_config
  
      expected_config = dict(time_limit=None)
      actual_config = ConfigBuilder().time_limit(None).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 7 for calling a global function with example usage: test_time_limit() without return types