docstr: Test the min_group_name string on 'none' and 'na_categorical'.
docstr_tok: ["Test","the","min_group_name","string","on","'none","'","and","'na_categorical","'","."]
code: def test_count_min_group_name_string(self):
      """Test the min_group_name string on 'none' and 'na_categorical'."""
      enc = encoders.CountEncoder(
          min_group_size=6, min_group_name="dave"
      )
  
      enc.fit(X)
  
      self.assertIn("dave", enc.mapping["none"])
      self.assertEqual(enc.mapping["none"]["dave"], 8)
      self.assertIn("dave", enc.mapping["na_categorical"])
      self.assertEqual(enc.mapping["na_categorical"]["dave"], 7)
  
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 10 for calling the TestCountEncoder obj's underlying member method code with example usage: obj.test_count_min_group_name_string() without return types