code: def test_inconsistent_x_dimensions_error(self, xp, scp):
      # 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)
      y = xp.asarray(y)
      d = _2d_test_function(y, xp)
      x = Halton(
          1, scramble=False, seed=_np.random.RandomState()
      ).random(10)
      x = xp.asarray(x)
      self.build(scp, y, d)(x)
  
imports: import pickle
  import pytest
  import warnings
  import numpy
  from numpy.linalg import LinAlgError
  import cupy
  import cupyx
  from cupy import testing
  import cupyx.scipy.interpolate
  from cupyx.scipy.interpolate._rbfinterp import _AVAILABLE, _SCALE_INVARIANT, _NAME_TO_MIN_DEGREE, NAME_TO_FUNC, _monomial_powers, polynomial_matrix, kernel_matrix
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(xp, scp) without return types