code: def test_inconsistent_x_dimensions_error(self):
      # ValueError should be raised if the observation points and evaluation
      # points have a different number of dimensions.
      y = Halton(
          2, scramble=False, seed=np.random.RandomState()
      ).random(10)
      d = _2d_test_function(y)
      x = Halton(
          1, scramble=False, seed=np.random.RandomState()
      ).random(10)
      match = "Expected the second axis of `x`"
      with pytest.raises(ValueError, match=match):
          self.build(y, d)(x)
  
imports: import pickle
  import pytest
  import numpy
  from numpy.linalg import LinAlgError
  from numpy.testing import assert_allclose, assert_array_equal
  from scipy.stats.qmc import Halton
  from scipy.spatial import cKDTree
  from scipy.interpolate._rbfinterp import _AVAILABLE, _SCALE_INVARIANT, _NAME_TO_MIN_DEGREE, _monomial_powers, RBFInterpolator
  from scipy.interpolate import _rbfinterp_pythran
label_desc: Use image node_id 11 for calling the _TestRBFInterpolator obj's underlying member method code with example usage: obj.test_inconsistent_x_dimensions_error() without return types