code: def _check_behavior_2d_for_constant(clf):
      # 2d case only
      X = np.array([[0], [0], [0], [0]])  # ignored
      y = np.array(
          [
              [1, 0, 5, 4, 3],
              [2, 0, 1, 2, 5],
              [1, 0, 4, 5, 2],
              [1, 3, 3, 2, 0],
          ]
      )
      est = clone(clf)
      est.fit(X, y)
      y_pred = est.predict(X)
      assert y.shape == y_pred.shape
  
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 3 for calling a global function with example usage: _check_behavior_2d_for_constant(clf) without return types