code: def test_split_more_regex_split(any_string_dtype):
      # regex split
      values = Series(
          ["a,b_c", "c_d,e", np.nan, "f,g,h"], dtype=any_string_dtype
      )
      result = values.str.split("[,_]")
      exp = Series(
          [["a", "b", "c"], ["c", "d", "e"], np.nan, ["f", "g", "h"]]
      )
      exp = _convert_na_value(values, exp)
      tm.assert_series_equal(result, exp)
  
imports: from datetime import datetime
  import re
  import numpy
  import pytest
  import pandas
  from pandas import DataFrame, Index, MultiIndex, Series, _testing
  from pandas.tests.strings import _convert_na_value, object_pyarrow_numpy
label_desc: Use image node_id 3 for calling a global function with example usage: test_split_more_regex_split(any_string_dtype) without return types