code: def test_get_params():
      clf1 = KNeighborsClassifier(n_neighbors=1)
      clf2 = RandomForestClassifier(random_state=1, n_estimators=10)
      clf3 = GaussianNB()
      eclf = EnsembleVoteClassifier(clfs=[clf1, clf2, clf3])
  
      got = sorted(
          list({s.split("__")[0] for s in eclf.get_params().keys()})
      )
      expect = [
          "clfs",
          "fit_base_estimators",
          "gaussiannb",
          "kneighborsclassifier",
          "randomforestclassifier",
          "use_clones",
          "verbose",
          "voting",
          "weights",
      ]
      assert got == expect, got
  
imports: import random
  import numpy
  import pytest
  from packaging.version import Version
  from sklearn import __version__
  from sklearn import exceptions
  from sklearn.base import clone
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import GridSearchCV, cross_val_score
  from sklearn.naive_bayes import GaussianNB
  from sklearn.neighbors import KNeighborsClassifier
  from mlxtend.classifier import EnsembleVoteClassifier
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 12 for calling a global function with example usage: test_get_params() without return types