code: def test_cmap():
      clf = KMeans(random_state=10)
      plt.rcParams["figure.figsize"] = (18, 7)
      plot.silhouette_analysis(
          X, clf, range_n_clusters=[2], cmap="Spectral"
      )
  
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 15 for calling a global function with example usage: test_cmap() without return types