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 = tensor(
              name="x",
              shape=(None,) * len(shp),
              dtype=pytensor.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, pytensor.config.floatX
          ).reshape(shp)
          self._compile_and_check([x], [yv, yi], [xval], TopKOp)
  
imports: from functools import reduce
  from itertools import chain, product
  import numpy
  import pytest
  import pytensor
  from pytensor.compile.mode import Mode
  from pytensor.tensor.sort import ArgSortOp, SortOp, TopKOp, argsort, argtopk, sort, topk, topk_and_argtopk
  from pytensor.tensor.type import dmatrix, dvector, float_dtypes, integer_dtypes, lscalar, matrix, scalar, tensor, vector
  from tests import unittest_tools
label_desc: Use image node_id 1 for calling the TestTopKInferShape obj's underlying member method code with example usage: obj.test_combined_infer_shape(shp, k_) without return types