code: def test_None_dimShuffle_replace():
      # tests replacing None usage in subtensor with dimshuffle
      #
      # tests whenever None is used in subtensor to reshape a variable, it is
      # replaced by dimshuffle. If the replacement is done properly, Subtensor op
      # (or any of its variants) should not be used anymore.
  
      x = tt.dmatrix("x")
      y = x[:, None, :]
      f = theano.function([x], y)
      for elem in f.maker.fgraph.toposort():
          assert type(elem.op) not in [
              Subtensor,
              AdvancedSubtensor,
              AdvancedSubtensor1,
              IncSubtensor,
              AdvancedIncSubtensor,
              AdvancedIncSubtensor1,
          ]
  
      x = tt.tensor3("x")
      y1 = x[:, :, None, :]
      y2 = x[None, :, :, None, :]
      y3 = x[:, :, None, :, None, None]
      f = theano.function([x], [y1, y2, y3])
      for elem in f.maker.fgraph.toposort():
          assert type(elem.op) not in [
              Subtensor,
              AdvancedSubtensor,
              AdvancedSubtensor1,
              IncSubtensor,
              AdvancedIncSubtensor,
              AdvancedIncSubtensor1,
          ]
  
file_path: Theano/theano/tensor/tests/test_var.py
imports: from __future__ import absolute_import, print_function, division
  import numpy
  from numpy.testing import assert_equal, assert_string_equal
  import theano
  import theano.tensor
  import theano.tests.unittest_tools
  from theano.tensor import Subtensor, AdvancedSubtensor, AdvancedSubtensor1, IncSubtensor, AdvancedIncSubtensor, AdvancedIncSubtensor1
label_desc: Use image node_id 4 for calling a global function with example usage: test_None_dimShuffle_replace() without return types