code: def test_bug_2009_06_02_trac_387():
      y = tensor.lvector("y")
      f = theano.function(
          [y],
          tensor.int_div(
              tensor.DimShuffle(y[0].broadcastable, ["x"])(y[0]), 2
          ),
      )
      print(f(np.ones(1, dtype="int64") * 3))
  
file_path: Theano/theano/tensor/tests/test_misc.py
imports: from __future__ import absolute_import, print_function, division
  import copy
  import sys
  import numpy
  import theano
  from theano import tensor
  from theano.tensor.nnet import crossentropy_softmax_argmax_1hot_with_bias
label_desc: Use image node_id 1 for calling a global function with example usage: test_bug_2009_06_02_trac_387() without return types