code: def test_sklearn_kmeans(assign_labels):
      sc = SpectralClustering(
          n_components=25,
          random_state=0,
          assign_labels=assign_labels,
          kmeans_params={"n_clusters": 8},
      )
      sc.fit(X)
      assert isinstance(sc.assign_labels_, sklearn.cluster.KMeans)
  
file_path: dask-ml/tests/test_spectral_clustering.py
imports: from functools import partial
  import numpy
  import pytest
  import sklearn.cluster
  from dask_ml import metrics
  from dask_ml.cluster import SpectralClustering
  from dask_ml.datasets import make_blobs
label_desc: Use image node_id 2 for calling a global function with example usage: test_sklearn_kmeans(assign_labels) without return types