code: def test_most_frequent_and_prior_strategy_with_2d_column_y():
      # non-regression test added in
      # https://github.com/scikit-learn/scikit-learn/pull/13545
      X = [[0], [0], [0], [0]]
      y_1d = [1, 2, 1, 1]
      y_2d = [[1], [2], [1], [1]]
  
      for strategy in ("most_frequent", "prior"):
          clf_1d = DummyClassifier(strategy=strategy, random_state=0)
          clf_2d = DummyClassifier(strategy=strategy, random_state=0)
  
          clf_1d.fit(X, y_1d)
          clf_2d.fit(X, y_2d)
          assert_array_equal(clf_1d.predict(X), clf_2d.predict(X))
  
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 6 for calling a global function with example usage: test_most_frequent_and_prior_strategy_with_2d_column_y() without return types