code: def test_init(random_seed):
      rs = np.random.RandomState(random_seed)
      X = rs.random((10, 13))
  
      tabular_masker = Independent(X)
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, tabular_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "tabular"
  
      tabular_masker = Partition(X)
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, tabular_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "tabular"
  
      tabular_masker = Impute(X)
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, tabular_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "tabular"
  
      text_masker = Text(
          AutoTokenizer.from_pretrained(
              "nateraw/bert-base-uncased-emotion", use_fast=True
          )
      )
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, text_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "text"
  
      image_masker = Image("inpaint_telea", shape=(224, 224, 3))
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, image_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "image"
  
      fc_masker = FixedComposite(text_masker)
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, fc_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "text"
  
      fc_masker = FixedComposite(image_masker)
      sequential_perturbation = (
          benchmark.perturbation.SequentialPerturbation(
              model, fc_masker, sort_order, perturbation
          )
      )
      assert sequential_perturbation.data_type == "image"
  
imports: import numpy
  from transformers import AutoTokenizer
  import shap.benchmark
  from shap.maskers import FixedComposite, Image, Impute, Independent, Partition, Text
label_desc: Use image node_id 2 for calling a global function with example usage: test_init(random_seed) without return types