code: def test_dask_timeseries_from_pandas(tmpdir):
      fn = str(tmpdir.join("test.parquet"))
      ddf2 = dask.datasets.timeseries(freq="D")
      pdf = ddf2.compute()
      pdf.to_parquet(fn, engine="pyarrow")
      read_df = dask_cudf.read_parquet(fn)
      dd.assert_eq(ddf2, read_df.compute())
  
imports: import glob
  import math
  import os
  import numpy
  import pandas
  import pytest
  import dask
  from dask import dataframe
  from dask.utils import natural_sort_key
  import cudf
  import dask_cudf
label_desc: Use image node_id 9 for calling a global function with example usage: test_dask_timeseries_from_pandas(tmpdir) without return types