code: def test_invalid_splits():
      msg = "Number of splits must be greater than 1. Got -1."
      lr = LogisticRegression(solver="liblinear", multi_class="ovr")
      assert_raises(
          ValueError, msg, bootstrap_point632_score, lr, X, y, -1
      )
  
imports: import os
  import numpy
  import pandas
  import pytest
  from sklearn.base import BaseEstimator
  from sklearn.linear_model import LogisticRegression
  from sklearn.tree import DecisionTreeClassifier
  from mlxtend.data import iris_data
  from mlxtend.evaluate import bootstrap_point632_score
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 7 for calling a global function with example usage: test_invalid_splits() without return types