code: def test_convert_data_csv(self):
      input_file = self._write_csv(self._create_example_csv())
      output_file = util.convert_comments_data(input_file)
  
      # Remove the quotes around identity terms list that read_csv injects.
      df = pd.read_csv(output_file).replace("'", "", regex=True)
  
      expected_df = pd.DataFrame()
      expected_df = pd.concat(
          [
              expected_df,
              pd.DataFrame.from_dict(
                  {
                      "comment_text": ["comment 1"],
                      "toxicity": [0.0],
                      "gender": [[]],
                      "sexual_orientation": [["bisexual"]],
                      "race": [["other_race_or_ethnicity"]],
                      "religion": [["atheist", "other_religion"]],
                      "disability": [
                          [
                              "physical_disability",
                              "intellectual_or_learning_disability",
                              "psychiatric_or_mental_illness",
                              "other_disability",
                          ]
                      ],
                  }
              ),
          ],
          ignore_index=True,
      )
  
      self.assertEqual(
          df.reset_index(drop=True, inplace=True),
          expected_df.reset_index(drop=True, inplace=True),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  import os
  import tempfile
  from unittest import mock
  from fairness_indicators.tutorial_utils import util
  import pandas
  import tensorflow
  import tensorflow_model_analysis
  from google.protobuf import text_format
label_desc: Use image node_id 6 for calling the UtilTest obj's underlying member method code with example usage: obj.test_convert_data_csv() without return types