code: def make_func(self):
      import theano.tensor as T
  
      x = T.TensorType(
          self.inputs[0]["type"],
          (False,) * len(self.inputs[0]["shape"]),
      )("x")
      i = T.TensorType(
          self.inputs[1]["type"],
          (False,) * len(self.inputs[1]["shape"]),
      )("y")
      z = x[i]
      return links.TheanoFunction([x, i], z)
  
imports: import unittest
  import warnings
  import numpy
  import pytest
  import chainer
  from chainer.backends import cuda
  from chainer import gradient_check
  from chainer import links
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
label_desc: Use image node_id 1 for calling the TestTheanoFunctionNonDifferential obj's underlying member method code with example usage: obj.make_func() and returns: links