code: def test_cartesian_chunk_with_df_or_series(setup):
      rs = np.random.RandomState(0)
      raw1 = pd.DataFrame({"a": range(10), "b": rs.rand(10)})
      raw2 = pd.DataFrame(
          {
              "c": rs.randint(3, size=10),
              "d": rs.rand(10),
              "e": rs.rand(10),
          }
      )
      df1 = from_pandas_df(raw1, chunk_size=(5, 1))
      df2 = from_pandas_df(raw2, chunk_size=(5, 1))
  
      def f1(c1, c2):
          return c1.iloc[[2, 4], :]
  
      with pytest.raises(TypeError):
          df1.cartesian_chunk(df2, f1)
  
      for kwargs in [
          dict(output_type="df_or_series"),
          dict(skip_infer=True),
      ]:
          res = df1.cartesian_chunk(df2, f1, **kwargs)
  
          assert isinstance(res, DATAFRAME_OR_SERIES_TYPE)
          res = res.execute()
          assert res.data_type == "dataframe"
          assert not ("dtype" in res.data_params)
          assert res.shape == (8, 2)
          pd.testing.assert_series_equal(res.dtypes, raw1.dtypes)
          pd.testing.assert_frame_equal(
              res.fetch(), raw1.iloc[[2, 4] * 2 + [7, 9] * 2, :]
          )
  
      def f2(c1, c2):
          return c1.iloc[2, :]
  
      with pytest.raises(TypeError):
          df1.cartesian_chunk(df2, f2)
  
      res = df1.cartesian_chunk(df2, f2, output_type="df_or_series")
  
      assert isinstance(res, DATAFRAME_OR_SERIES_TYPE)
      res = res.execute()
      assert res.data_type == "series"
      assert not ("dtypes" in res.data_params)
      assert res.shape == (8,)
      pd.testing.assert_series_equal(
          res.fetch(),
          pd.concat(
              [
                  raw1.iloc[2, :],
                  raw1.iloc[2, :],
                  raw1.iloc[7, :],
                  raw1.iloc[7, :],
              ]
          ),
      )
  
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 38 for calling a global function with example usage: test_cartesian_chunk_with_df_or_series(setup) and returns: c1, c1