code: def test_prediction_wrong_shape(data):
      x = np.asarray(data.x)
      res = ARDL(data.y, 4, x, [1, 3]).fit()
      with pytest.raises(
          ValueError, match="exog must have the same number"
      ):
          res.predict(exog=np.asarray(data.x)[:, :1])
      with pytest.raises(
          ValueError, match="exog must have the same number of rows"
      ):
          res.predict(exog=np.asarray(data.x)[:-2])
      res = ARDL(data.y, 4, data.x, [1, 3]).fit()
      with pytest.raises(
          ValueError, match="exog must have the same columns"
      ):
          res.predict(exog=data.x.iloc[:, :1])
      with pytest.raises(
          ValueError, match="exog must have the same number of rows"
      ):
          res.predict(exog=data.x.iloc[:-2])
  
imports: from typing import NamedTuple
  import numpy
  from numpy.testing import assert_allclose
  import pandas
  from pandas.testing import assert_index_equal
  import pytest
  from statsmodels.datasets import danish_data
  from statsmodels.iolib.summary import Summary
  from statsmodels.tools.sm_exceptions import SpecificationWarning
  from statsmodels.tsa.ar_model import AutoReg
  from statsmodels.tsa.ardl.model import ARDL, UECM, ARDLResults, ardl_select_order
  from statsmodels.tsa.deterministic import DeterministicProcess
label_desc: Use image node_id 39 for calling a global function with example usage: test_prediction_wrong_shape(data) without return types