code: def test_row_norms(X_blobs):
      result = row_norms(X_blobs, squared=True)
      expected = sklearn.utils.extmath.row_norms(
          X_blobs.compute(), squared=True
      )
      assert_eq(result, expected)
  
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 2 for calling a global function with example usage: test_row_norms(X_blobs) without return types