code: def lightgbm_regression():
      try:
          import lightgbm
      except ImportError:
          return pytest.param(
              "lightgbm.LGBMRegressor", marks=pytest.mark.skip
          )
      X, y = datasets["regression"]
  
      model = lightgbm.LGBMRegressor(n_jobs=1)
      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 8 for calling a global function with example usage: lightgbm_regression() and returns: model,  X,  model, pytest