code: def get_adult_income_modelpath(backend="TF1"):
      pkg_path = dice_ml.__path__[0]
      model_ext = (
          ".h5"
          if "TF" in backend
          else (".pth" if backend == "PYT" else ".pkl")
      )
      modelpath = os.path.join(
          pkg_path,
          "utils",
          "sample_trained_models",
          "adult" + model_ext,
      )
      return modelpath
  
imports: import os
  import pickle
  import shutil
  import zipfile
  from urllib.request import urlretrieve
  import numpy
  import pandas
  from sklearn.compose import ColumnTransformer
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
  import dice_ml
label_desc: Use image node_id 11 for calling a global function with example usage: get_adult_income_modelpath(backend) and returns: modelpath