code: def test_shuffle_pd_series(self):
      # dummy data in vw format
      X = pd.Series(
          ["1 |Pet cat", "-1 |Pet dog", "1 |Pet cat", "1 |Pet cat"],
          name="catdog",
      )
  
      kfold = KFold(n_splits=3, random_state=314, shuffle=True)
      for train_idx, valid_idx in kfold.split(X):
          X_train = X[train_idx]
          # Classifier with multiple passes over the data
          clf = VWClassifier(passes=3, convert_to_vw=False)
          # Test that there is no exception raised in the fit on folds
          try:
              clf.fit(X_train)
          except KeyError:
              pytest.fail("Failed the fit over sub-sampled DataFrame")
  
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 5 for calling the TestVWClassifier obj's underlying member method code with example usage: obj.test_shuffle_pd_series() without return types