docstr: Test the min_nan_groups_bool on 'none' and 'na_categorical'.
docstr_tok: ["Test","the","min_nan_groups_bool","on","'none","'","and","'na_categorical","'","."]
code: def test_count_combine_min_nan_groups_bool(self):
      """Test the min_nan_groups_bool on 'none' and 'na_categorical'."""
      enc = encoders.CountEncoder(
          min_group_size=7, combine_min_nan_groups=False
      )
  
      enc.fit(X)
      out = enc.transform(X_t)
  
      self.assertTrue(pd.Series([6, 5, 3]).isin(out["none"]).all())
      self.assertEqual(out["none"].unique().shape[0], 3)
      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 8 for calling the TestCountEncoder obj's underlying member method code with example usage: obj.test_count_combine_min_nan_groups_bool() without return types