code: def test_neibs_bad_shape_wrap_centered(self):
      shape = (2, 3, 10, 10)
  
      for dtype in self.dtypes:
          images = shared(
              np.arange(np.prod(shape), dtype=dtype).reshape(shape)
          )
  
          for neib_shape in [(3, 2), (2, 3)]:
              neib_shape = T.as_tensor_variable(neib_shape)
  
              f = function(
                  [],
                  images2neibs(
                      images, neib_shape, mode="wrap_centered"
                  ),
                  mode=self.mode,
              )
              self.assertRaises(TypeError, f)
  
          for shape in [(2, 3, 2, 3), (2, 3, 3, 2)]:
              images = shared(np.arange(np.prod(shape)).reshape(shape))
              neib_shape = T.as_tensor_variable((3, 3))
              f = function(
                  [],
                  images2neibs(
                      images, neib_shape, mode="wrap_centered"
                  ),
                  mode=self.mode,
              )
              self.assertRaises(TypeError, f)
  
          # Test a valid shapes
          shape = (2, 3, 3, 3)
          images = shared(np.arange(np.prod(shape)).reshape(shape))
          neib_shape = T.as_tensor_variable((3, 3))
  
          f = function(
              [],
              images2neibs(images, neib_shape, mode="wrap_centered"),
              mode=self.mode,
          )
          f()
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import unittest
  import theano
  from theano import shared, function
  import theano.tensor
  from theano.tensor.nnet.neighbours import images2neibs, neibs2images, Images2Neibs
  from theano.tests import unittest_tools
  from theano import change_flags
label_desc: Use image node_id 8 for calling the T_Images2Neibs obj's underlying member method code with example usage: obj.test_neibs_bad_shape_wrap_centered() without return types