code: def test_string_method_execution(setup):
      s = pd.Series(["s1,s2", "ef,", "dd", np.nan])
      s2 = pd.concat([s, s, s])
  
      series = from_pandas_series(s, chunk_size=2)
      series2 = from_pandas_series(s2, chunk_size=2)
  
      # test getitem
      r = series.str[:3]
      result = r.execute().fetch()
      expected = s.str[:3]
      pd.testing.assert_series_equal(result, expected)
  
      # test split, expand=False
      r = series.str.split(",", n=2)
      result = r.execute().fetch()
      expected = s.str.split(",", n=2)
      pd.testing.assert_series_equal(result, expected)
  
      # test split, expand=True
      r = series.str.split(",", expand=True, n=1)
      result = r.execute().fetch()
      expected = s.str.split(",", expand=True, n=1)
      pd.testing.assert_frame_equal(result, expected)
  
      # test rsplit
      r = series.str.rsplit(",", expand=True, n=1)
      result = r.execute().fetch()
      expected = s.str.rsplit(",", expand=True, n=1)
      pd.testing.assert_frame_equal(result, expected)
  
      # test cat all data
      r = series2.str.cat(sep="/", na_rep="e")
      result = r.execute().fetch()
      expected = s2.str.cat(sep="/", na_rep="e")
      assert result == expected
  
      # test cat list
      r = series.str.cat(["a", "b", np.nan, "c"])
      result = r.execute().fetch()
      expected = s.str.cat(["a", "b", np.nan, "c"])
      pd.testing.assert_series_equal(result, expected)
  
      # test cat series
      r = series.str.cat(series.str.capitalize(), join="outer")
      result = r.execute().fetch()
      expected = s.str.cat(s.str.capitalize(), join="outer")
      pd.testing.assert_series_equal(result, expected)
  
      # test extractall
      r = series.str.extractall(r"(?P<letter>[ab])(?P<digit>\d)")
      result = r.execute().fetch()
      expected = s.str.extractall(r"(?P<letter>[ab])(?P<digit>\d)")
      pd.testing.assert_frame_equal(result, expected)
  
      # test extract, expand=False
      r = series.str.extract(r"[ab](\d)", expand=False)
      result = r.execute().fetch()
      expected = s.str.extract(r"[ab](\d)", expand=False)
      pd.testing.assert_series_equal(result, expected)
  
      # test extract, expand=True
      r = series.str.extract(r"[ab](\d)", expand=True)
      result = r.execute().fetch()
      expected = s.str.extract(r"[ab](\d)", expand=True)
      pd.testing.assert_frame_equal(result, expected)
  
imports: import random
  from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  import mars
  from ....config import options, option_context
  from ....dataframe import DataFrame, Series
  from ....tensor import arange, tensor
  from ....tensor.random import rand
  from ....tests.core import require_cudf
  from ....utils import lazy_import, pd_release_version, no_default
  from ...None import eval, cut, qcut, get_dummies
  from ...core import DATAFRAME_OR_SERIES_TYPE
  from ...datasource.dataframe import from_pandas
  from ...datasource.series import from_pandas
  from ...datasource.index import from_pandas
  from ..None import to_gpu, to_cpu
  from ..bloom_filter import filter_by_bloom_filter
  from ..shift import _enable_no_default, _with_column_freq_bug
  from ..to_numeric import to_numeric
  from ..rebalance import DataFrameRebalance
label_desc: Use image node_id 14 for calling a global function with example usage: test_string_method_execution(setup) without return types