code: def test_fit_raises():
      km = DKKMeans()
      with pytest.raises(ValueError):
          km.fit(np.array([]).reshape(0, 1))
  
      with pytest.raises(ValueError):
          km.fit(np.array([]).reshape(1, 0))
  
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 5 for calling a global function with example usage: test_fit_raises() without return types