code: def test_combined_1d(self, size, k, dtype, sorted, idx_dtype):
      if isinstance(k, str):
          k = eval(k.replace("n", str(size)))
  
      x = theano.tensor.vector(name="x", dtype=dtype)
      yv, yi = topk_and_argtopk(
          x, k, sorted=sorted, idx_dtype=idx_dtype
      )
      fn = theano.function([x], [yv, yi], mode=self.mode)
      assert any(
          [
              isinstance(n.op, self.op_class)
              for n in fn.maker.fgraph.apply_nodes
          ]
      )
      # generate a all-unique array
      xval = gen_unique_vector(size, dtype)
      yvval, yival = fn(xval)
      idx = slice(-k, None) if k > 0 else slice(-k)
      goali = np.argsort(xval)[idx].astype(idx_dtype)
      goalv = xval[goali]
  
      # due to uniqueness, we expect indices same
      assert np.all(xval[np.sort(yival)] == xval[np.sort(goali)])
      utt.assert_allclose(np.sort(yvval), goalv)
  
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 7 for calling the Test_TopK obj's underlying member method code with example usage: obj.test_combined_1d(size, k, dtype, sorted, idx_dtype) without return types