code: def test_get_dummies_large():
      gdf = cudf.datasets.randomdata(
          nrows=200000,
          dtypes={
              "C": int,
              "first": "category",
              "b": float,
              "second": "category",
          },
      )
      df = gdf.to_pandas()
      ddf = dd.from_pandas(df, npartitions=25)
      dd.assert_eq(dd.get_dummies(ddf).compute(), pd.get_dummies(df))
      gddf = dask_cudf.from_cudf(gdf, npartitions=25)
      dd.assert_eq(
          dd.get_dummies(ddf).compute(),
          dd.get_dummies(gddf).compute(),
          check_dtype=False,
      )
  
file_path: cudf/python/dask_cudf/dask_cudf/tests/test_onehot.py
imports: import pandas
  import pytest
  from dask import dataframe
  import cudf
  import dask_cudf
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_dummies_large() without return types