code: def test_datetime_method_execution(setup):
      # test datetime
      s = pd.Series(
          [pd.Timestamp("2020-1-1"), pd.Timestamp("2020-2-1"), np.nan]
      )
      series = from_pandas_series(s, chunk_size=2)
  
      r = series.dt.year
      result = r.execute().fetch()
      expected = s.dt.year
      pd.testing.assert_series_equal(result, expected)
  
      r = series.dt.strftime("%m-%d-%Y")
      result = r.execute().fetch()
      expected = s.dt.strftime("%m-%d-%Y")
      pd.testing.assert_series_equal(result, expected)
  
      # test timedelta
      s = pd.Series(
          [pd.Timedelta("1 days"), pd.Timedelta("3 days"), np.nan]
      )
      series = from_pandas_series(s, chunk_size=2)
  
      r = series.dt.days
      result = r.execute().fetch()
      expected = s.dt.days
      pd.testing.assert_series_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 15 for calling a global function with example usage: test_datetime_method_execution(setup) without return types