code: def xgboost_regressor():
      try:
          import xgboost
      except ImportError:
          return pytest.param(
              "xgboost.XGBRegressor", marks=pytest.mark.skip
          )
  
      X, y = datasets["regression"]
  
      model = xgboost.XGBRegressor()
      model.fit(X, y)
      return model, X, model.predict(X)
  
imports: import numpy
  import pytest
  import sklearn
  import shap
  from shap.utils import assert_import
label_desc: Use image node_id 4 for calling a global function with example usage: xgboost_regressor() and returns: model,  X,  model, pytest