code: def test_transform_1d_behavior():
      X = np.arange(4)
      est = KBinsDiscretizer(n_bins=2)
      with pytest.raises(ValueError):
          est.fit(X)
  
      est = KBinsDiscretizer(n_bins=2)
      est.fit(X.reshape(-1, 1))
      with pytest.raises(ValueError):
          est.transform(X)
  
imports: import warnings
  import numpy
  import pytest
  import scipy.sparse
  from sklearn import clone
  from sklearn.preprocessing import KBinsDiscretizer, OneHotEncoder
  from sklearn.utils._testing import assert_allclose, assert_allclose_dense_sparse, assert_array_almost_equal, assert_array_equal
label_desc: Use image node_id 9 for calling a global function with example usage: test_transform_1d_behavior() without return types