code: def iterate_paths(
      predict_function, model, data, label, new_observation, p, b, rng
  ):
      random_path = rng.choice(np.arange(p), p, replace=False)
      return get_single_random_path(
          predict_function,
          model,
          data,
          label,
          new_observation,
          random_path,
          b,
      )
  
file_path: DALEX/python/dalex/dalex/predict_explanations/_shap/utils.py
imports: import multiprocessing
  from copy import deepcopy
  from numpy.random import SeedSequence, default_rng
  import numpy
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: iterate_paths(predict_function, model, data, label, new_observation, p, b, rng) and returns: get_single_random_path