code: def test_dataframes():
      df = dd.from_pandas(
          pd.DataFrame(np.random.uniform(size=(100, 4))), npartitions=2
      )
  
      kmeans = DKKMeans()
      kmeans.fit(df)
  
imports: import warnings
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  import sklearn.datasets
  import sklearn.utils.extmath
  from dask.array.utils import assert_eq
  from sklearn.cluster import KMeans
  from sklearn.utils.estimator_checks import check_estimator
  import dask_ml.cluster
  from dask_ml.cluster import KMeans, k_means
  from dask_ml.cluster._compat import _kmeans_plusplus
  from dask_ml.utils import assert_estimator_equal, row_norms
label_desc: Use image node_id 6 for calling a global function with example usage: test_dataframes() without return types