code: def verify_predict_outputs(model, model_wrapper, test_data):
      model_predict_output = model.predict(test_data)
      model_wrapper_predict_output = model_wrapper.predict(test_data)
      np.all(model_predict_output == model_wrapper_predict_output)
  
imports: import numpy
  import pandas
  import pytest
  import shap
  import sklearn
  from ml_wrappers.model.predictions_wrapper import PredictionsModelWrapperClassification, PredictionsModelWrapperRegression
  from sklearn.datasets import fetch_california_housing, load_iris
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.model_selection import train_test_split
  from responsibleai import RAIInsights
label_desc: Use image node_id 1 for calling a global function with example usage: verify_predict_outputs(model, model_wrapper, test_data) without return types