code: def test_data_frame_with_dtype_values_to_bytes(self):
      df1 = pd.DataFrame(["foo", "bar"])
      df2 = pd.DataFrame(df1.dtypes)
  
      try:
          type_util.data_frame_to_bytes(df2)
      except Exception as ex:
          self.fail(
              f"Converting dtype dataframes to Arrow should not fail: {ex}"
          )
  
imports: import enum
  import unittest
  from collections import namedtuple
  from datetime import date
  from decimal import Decimal
  from typing import Any
  from unittest.mock import patch
  import numpy
  import pandas
  import plotly.graph_objs
  import pytest
  from pandas.api.types import infer_dtype
  from parameterized import parameterized
  from streamlit import errors, type_util
  from streamlit.errors import StreamlitAPIException
  from tests.streamlit.data_mocks import BASE_TYPES_DF, DATETIME_TYPES_DF, INTERVAL_TYPES_DF, LIST_TYPES_DF, NUMBER_TYPES_DF, PERIOD_TYPES_DF, SHARED_TEST_CASES, SPECIAL_TYPES_DF, UNSUPPORTED_TYPES_DF, TestCaseMetadata, TestObject
  from tests.streamlit.snowpark_mocks import DataFrame
  from tests.streamlit.snowpark_mocks import Row
  from tests.testutil import create_snowpark_session, patch_config_options
label_desc: Use image node_id 8 for calling the TypeUtilTest obj's underlying member method code with example usage: obj.test_data_frame_with_dtype_values_to_bytes() without return types