code: def test_waterfall_wrong_explanation_shape(explainer):
      explanation = explainer(explainer.data)
  
      emsg = (
          "waterfall plot can currently only plot a single explanation"
      )
      with pytest.raises(ValueError, match=emsg):
          shap.plots.waterfall(explanation, show=False)
  
file_path: shap/tests/plots/test_waterfall.py
imports: import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  from sklearn.tree import DecisionTreeRegressor
  import shap
label_desc: Use image node_id 2 for calling a global function with example usage: test_waterfall_wrong_explanation_shape(explainer) without return types