code: def test_topk_arguments(self, device):
      q = torch.randn(10, 2, 10, device=device)
      # Make sure True isn't mistakenly taken as the 2nd dimension (interpreted as 1)
      self.assertRaises(TypeError, lambda: q.topk(4, True))
  
imports: import torch
  import numpy
  import random
  from torch import nan
  from itertools import permutations, product
  from torch.testing import make_tensor
  from torch.testing._internal.common_dtype import all_types, all_types_and, floating_types_and, integral_types
  from torch.testing._internal.common_utils import TestCase, run_tests, slowTest, skipIfTorchDynamo
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, dtypes, onlyNativeDeviceTypes, onlyCUDA, dtypesIfCUDA, dtypesIfCPU, onlyCPU, largeTensorTest
label_desc: Use image node_id 19 for calling the TestSortAndSelect obj's underlying member method code with example usage: obj.test_topk_arguments(device) without return types