code: def test_repartition_timeseries(start, stop):
      # This test is currently absurdly slow.  It should not be unskipped without
      # slimming it down.
      pdf = dask.datasets.timeseries(
          "2000-01-01",
          "2000-01-31",
          freq="1s",
          partition_freq=start,
          dtypes={"x": int, "y": float},
      )
      gdf = pdf.map_partitions(cudf.DataFrame.from_pandas)
  
      a = pdf.repartition(freq=stop)
      b = gdf.repartition(freq=stop)
      assert a.divisions == b.divisions
  
      dd.utils.assert_eq(a, b)
  
imports: import random
  import cupy
  import numpy
  import pandas
  import pytest
  from packaging import version
  import dask
  from dask import dataframe
  from dask.dataframe.core import make_meta, meta_nonempty
  from dask.utils import M
  import cudf
  import dask_cudf
label_desc: Use image node_id 24 for calling a global function with example usage: test_repartition_timeseries(start, stop) without return types