code: def test_shuffle_list(self):
      # dummy data in vw format
      X = ["1 |Pet cat", "-1 |Pet dog", "1 |Pet cat", "1 |Pet cat"]
  
      # Classifier with multiple passes over the data
      clf = VWClassifier(passes=3, convert_to_vw=False)
      clf.fit(X)
  
      # assert that the dummy data was not perturbed
      assert X == [
          "1 |Pet cat",
          "-1 |Pet dog",
          "1 |Pet cat",
          "1 |Pet cat",
      ]
  
imports: from collections import namedtuple
  import os
  import numpy
  from packaging import version
  import pandas
  import pytest
  from scipy.sparse import csr_matrix
  from sklearn import datasets, __version__
  from sklearn.model_selection import KFold
  from sklearn.utils.estimator_checks import check_estimator
  from vowpalwabbit.sklearn import VW, VWClassifier, VWRegressor, tovw, VWMultiClassifier, VWRegressor
label_desc: Use image node_id 4 for calling the TestVWClassifier obj's underlying member method code with example usage: obj.test_shuffle_list() without return types