docstr: Test the combine_min_nan_groups dict  on 'none' and 'na_categorical'.
docstr_tok: ["Test","the","combine_min_nan_groups","dict","on","'none","'","and","'na_categorical","'","."]
code: def test_count_combine_min_nan_groups_dict(self):
      """Test the combine_min_nan_groups dict  on 'none' and 'na_categorical'."""
      enc = encoders.CountEncoder(
          min_group_size={"none": 6, "na_categorical": 7},
          combine_min_nan_groups={
              "none": "force",
              "na_categorical": False,
          },
      )
  
      enc.fit(X)
      out = enc.transform(X_t)
  
      self.assertIn("none", enc._combine_min_nan_groups)
      self.assertTrue(pd.Series([14, 6]).isin(out["none"]).all())
      self.assertEqual(out["none"].unique().shape[0], 2)
      self.assertEqual(out["none"].isna().sum(), 0)
      self.assertTrue(
          pd.Series([9, 7, 4]).isin(out["na_categorical"]).all()
      )
      self.assertEqual(out["na_categorical"].unique().shape[0], 3)
      self.assertTrue(enc.mapping is not None)
      self.assertIn(np.nan, enc.mapping["na_categorical"])
  
file_path: category_encoders/tests/test_count.py
imports: import pandas
  from unittest import TestCase
  import numpy
  import category_encoders
label_desc: Use image node_id 9 for calling the TestCountEncoder obj's underlying member method code with example usage: obj.test_count_combine_min_nan_groups_dict() without return types