code: def test_tabular_multi_output_independent_masker():
      model, data = common.basic_xgboost_scenario(100)
      common.test_additivity(
          shap.explainers.PermutationExplainer,
          model.predict_proba,
          shap.maskers.Independent(data),
          data,
      )
  
file_path: shap/tests/explainers/test_permutation.py
imports: import pickle
  import numpy
  import shap
  from .None import common
label_desc: Use image node_id 7 for calling a global function with example usage: test_tabular_multi_output_independent_masker() without return types