code: def test_select_dtypes_execution(setup):
      raw = pd.DataFrame(
          {"a": np.random.rand(10), "b": np.random.randint(10, size=10)}
      )
  
      df = from_pandas_df(raw, chunk_size=5)
      r = df.select_dtypes(include=["float64"])
  
      result = r.execute().fetch()
      expected = raw.select_dtypes(include=["float64"])
      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 33 for calling a global function with example usage: test_select_dtypes_execution(setup) without return types