code: def test_transform(global_random_seed):
      """Check transform method of VotingClassifier on toy dataset."""
      clf1 = LogisticRegression(random_state=global_random_seed)
      clf2 = RandomForestClassifier(
          n_estimators=10, random_state=global_random_seed
      )
      clf3 = GaussianNB()
      X = np.array(
          [[-1.1, -1.5], [-1.2, -1.4], [-3.4, -2.2], [1.1, 1.2]]
      )
      y = np.array([1, 1, 2, 2])
  
      eclf1 = VotingClassifier(
          estimators=[("lr", clf1), ("rf", clf2), ("gnb", clf3)],
          voting="soft",
      ).fit(X, y)
      eclf2 = VotingClassifier(
          estimators=[("lr", clf1), ("rf", clf2), ("gnb", clf3)],
          voting="soft",
          flatten_transform=True,
      ).fit(X, y)
      eclf3 = VotingClassifier(
          estimators=[("lr", clf1), ("rf", clf2), ("gnb", clf3)],
          voting="soft",
          flatten_transform=False,
      ).fit(X, y)
  
      assert_array_equal(eclf1.transform(X).shape, (4, 6))
      assert_array_equal(eclf2.transform(X).shape, (4, 6))
      assert_array_equal(eclf3.transform(X).shape, (3, 4, 2))
      assert_array_almost_equal(eclf1.transform(X), eclf2.transform(X))
      assert_array_almost_equal(
          eclf3.transform(X).swapaxes(0, 1).reshape((4, 6)),
          eclf2.transform(X),
      )
  
imports: import re
  import numpy
  import pytest
  from sklearn import datasets
  from sklearn.base import BaseEstimator, ClassifierMixin, clone
  from sklearn.datasets import make_multilabel_classification
  from sklearn.dummy import DummyRegressor
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor, VotingClassifier, VotingRegressor
  from sklearn.exceptions import NotFittedError
  from sklearn.linear_model import LinearRegression, LogisticRegression
  from sklearn.model_selection import GridSearchCV, cross_val_score, train_test_split
  from sklearn.multiclass import OneVsRestClassifier
  from sklearn.naive_bayes import GaussianNB
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import SVC
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
label_desc: Use image node_id 18 for calling a global function with example usage: test_transform(global_random_seed) without return types