code: def test_plot_elbow_curve_bad_input_value_error(
      ploomber_value_error_message,
  ):
      X = np.array([[1, 2], [1, 4], [1, 0], [10, 2], [10, 4], [10, 0]])
      clf = KMeans()
      with pytest.raises(
          ValueError, match=ploomber_value_error_message
      ):
          plot.elbow_curve(X, clf, n_clusters=range(1, 10))
  
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 3 for calling a global function with example usage: test_plot_elbow_curve_bad_input_value_error(ploomber_value_error_message) without return types