code: def test_assign_labels_raises():
      sc = SpectralClustering(assign_labels="foo")
      with pytest.raises(ValueError) as m:
          sc.fit(X)
  
      assert m.match("Unknown 'assign_labels' 'foo'")
  
      sc = SpectralClustering(assign_labels=dict())
      with pytest.raises(TypeError) as m:
          sc.fit(X)
  
      assert m.match("Invalid type ")
  
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 5 for calling a global function with example usage: test_assign_labels_raises() without return types