code: def test_combined_infer_shape(self, shp, k_):
      ndim = len(shp)
      for axis in range(-ndim, ndim):
          if isinstance(k_, str):
              k = eval(k_.replace("n", str(shp[axis])))
          else:
              k = k_
  
          if k == 0:
              continue
  
          x = theano.tensor.tensor(
              name="x",
              broadcastable=(False,) * len(shp),
              dtype=theano.config.floatX,
          )
          yv, yi = topk_and_argtopk(
              x, k, axis=axis, sorted=False, idx_dtype="int32"
          )
          size = reduce(int.__mul__, shp)
          xval = gen_unique_vector(size, theano.config.floatX).reshape(
              shp
          )
          self._compile_and_check([x], [yv, yi], [xval], TopKOp)
  
imports: from __future__ import absolute_import, print_function, division
  from itertools import product, chain
  from functools import reduce
  import unittest
  from theano.tests import unittest_tools
  import numpy
  import theano
  from theano import tensor
  from theano.tensor.sort import sort, SortOp
  from theano.tensor.sort import argsort, ArgSortOp
  from theano.tensor.sort import topk, argtopk, topk_and_argtopk, TopKOp
label_desc: Use image node_id 1 for calling the TopKInferShapeTester obj's underlying member method code with example usage: obj.test_combined_infer_shape(shp, k_) without return types