code: def test_kmeanspp_init(self, Xl_blobs_easy):
      X, y = Xl_blobs_easy
      X_ = X.compute()
      rs = np.random.RandomState(0)
      dkkm = DKKMeans(3, init="k-means++", random_state=rs)
      skkm = SKKMeans(
          3, init="k-means++", random_state=rs, n_init="auto"
      )
      dkkm.fit(X)
      skkm.fit(X_)
      assert abs(dkkm.inertia_ - skkm.inertia_) < 1e-4
      assert dkkm.init == "k-means++"
  
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 3 for calling the TestKMeans obj's underlying member method code with example usage: obj.test_kmeanspp_init(Xl_blobs_easy) without return types