code: def test_refit_full():
      assert ConfigBuilder().refit_full().build() == dict(
          refit_full=True
      )
      assert ConfigBuilder().refit_full(False).build() == dict(
          refit_full=False
      )
      assert ConfigBuilder().refit_full("best").build() == dict(
          refit_full="best"
      )
  
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 27 for calling a global function with example usage: test_refit_full() without return types