code: def test_lgbmclas_shap_values_all_probabilities(
      precalculated_lgbm_classifier_explainer,
  ):
      assert (
          precalculated_lgbm_classifier_explainer.shap_base_value() >= 0
      )
      assert (
          precalculated_lgbm_classifier_explainer.shap_base_value() <= 1
      )
      assert np.all(
          precalculated_lgbm_classifier_explainer.get_shap_values_df().sum(
              axis=1
          )
          + precalculated_lgbm_classifier_explainer.shap_base_value()
          >= 0
      )
      assert np.all(
          precalculated_lgbm_classifier_explainer.get_shap_values_df().sum(
              axis=1
          )
          + precalculated_lgbm_classifier_explainer.shap_base_value()
          <= 1
      )
  
imports: import pandas
  import numpy
label_desc: Use image node_id 23 for calling a global function with example usage: test_lgbmclas_shap_values_all_probabilities(precalculated_lgbm_classifier_explainer) without return types