code: def test_string_labels():
      X = [[0]] * 5
      y = ["paris", "paris", "tokyo", "amsterdam", "berlin"]
      clf = DummyClassifier(strategy="most_frequent")
      clf.fit(X, y)
      assert_array_equal(clf.predict(X), ["paris"] * 5)
  
imports: import numpy
  import pytest
  import scipy.sparse
  from sklearn.base import clone
  from sklearn.dummy import DummyClassifier, DummyRegressor
  from sklearn.exceptions import NotFittedError
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal, ignore_warnings
  from sklearn.utils.fixes import CSC_CONTAINERS
  from sklearn.utils.stats import _weighted_percentile
label_desc: Use image node_id 12 for calling a global function with example usage: test_string_labels() without return types