code: def test_string_classes():
      clf = KMeans()
      cluster_labels = clf.fit_predict(X)
      plot.silhouette_analysis_from_results(
          X, convert_labels_into_string(cluster_labels)
      )
  
imports: import pytest
  import numpy
  from unittest.mock import Mock
  import matplotlib.pyplot
  from matplotlib.testing.decorators import image_comparison
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.cluster import KMeans, MiniBatchKMeans
  from sklearn.datasets import load_iris
  from sklearn_evaluation import plot
  import sklearn_evaluation.plot.clustering
  from ploomber_core.warnings import PloomberDeprecationWarning
label_desc: Use image node_id 17 for calling a global function with example usage: test_string_classes() without return types