code: def test_stochasticoptimization():
      # this optimization alternates between triggering and not triggering.
  
      last_time_replaced = [False]
  
      @gof.local_optimizer([theano.tensor.add])
      def insert_broken_add_sometimes(node):
          if node.op == theano.tensor.add:
              last_time_replaced[0] = not last_time_replaced[0]
              if last_time_replaced[0]:
                  return [off_by_half(*node.inputs)]
          return False
  
      edb = gof.EquilibriumDB()
      edb.register(
          "insert_broken_add_sometimes",
          insert_broken_add_sometimes,
          "all",
      )
      opt = edb.query("+all")
  
      a = theano.tensor.dvector()
      b = theano.tensor.dvector()
  
      try:
          theano.function(
              [a, b],
              theano.tensor.add(a, b),
              mode=debugmode.DebugMode(
                  optimizer=opt,
                  check_c_code=True,
                  stability_patience=max(2, config.DebugMode.patience),
              ),
          )
      except debugmode.StochasticOrder:
          return  # TEST PASS
      assert False
  
imports: from __future__ import absolute_import, print_function, division
  import sys
  import unittest
  from nose.plugins.skip import SkipTest
  import numpy
  from six import reraise
  from theano import config
  from theano import gof
  import theano
  from theano.compat import exc_message
  from theano.compile import debugmode
  import theano.tensor
  from theano.tests import unittest_tools
label_desc: Use image node_id 5 for calling a global function with example usage: test_stochasticoptimization() and returns: False, list