code: def _verify_feature_importance(self, feature_importance):
      if feature_importance is not None:
          for key in feature_importance:
              assert feature_importance[key] >= 0.0
              assert feature_importance[key] <= 1.0
  
imports: import re
  import numpy
  import pandas
  import pytest
  from rai_test_utils.datasets.tabular import create_housing_data
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.ensemble import RandomForestRegressor
  import dice_ml
  from dice_ml.diverse_counterfactuals import CounterfactualExamples
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
  from dice_ml.utils import helpers
  from ..conftest import _load_custom_testing_binary_model
label_desc: Use image node_id 1 for calling the TestExplainerBaseBinaryClassification obj's underlying member method code with example usage: obj._verify_feature_importance(feature_importance) without return types