code: def test_plot_contributions(
      precalculated_catboost_regression_explainer,
  ):
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          0
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          0, topx=3
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          0, sort="high-to-low"
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          0, sort="low-to-high"
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          0, sort="importance"
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_contributions(
          X_row=precalculated_catboost_regression_explainer.X.iloc[[0]]
      )
      assert isinstance(fig, go.Figure)
  
imports: import pandas
  import numpy
  from pandas.api.types import is_categorical_dtype, is_numeric_dtype
  import plotly.graph_objs
label_desc: Use image node_id 27 for calling a global function with example usage: test_plot_contributions(precalculated_catboost_regression_explainer) without return types