code: def test_dask(df):
      # dask sets "compute.use_numexpr" to False, so catch the current value
      # and ensure to reset it afterwards to avoid impacting other tests
      olduse = pd.get_option("compute.use_numexpr")
  
      try:
          pytest.importorskip("toolz")
          dd = pytest.importorskip("dask.dataframe")
  
          ddf = dd.from_pandas(df, npartitions=3)
          assert ddf.A is not None
          assert ddf.compute() is not None
      finally:
          pd.set_option("compute.use_numexpr", olduse)
  
imports: import array
  from functools import partial
  import subprocess
  import sys
  import numpy
  import pytest
  from pandas.errors import IntCastingNaNError
  import pandas
  from pandas import DataFrame, DatetimeIndex, Series, TimedeltaIndex
  import pandas._testing
  from pandas.core.arrays import DatetimeArray, TimedeltaArray
label_desc: Use image node_id 2 for calling a global function with example usage: test_dask(df) without return types