code: def test_rndm_scalar(self, func, use_numpy):
      # default `size` means a python scalar return
      with control_stream(use_numpy):
          r = func()
      assert isinstance(r, (int, float))
  
imports: from contextlib import contextmanager
  from functools import partial
  import numpy
  import pytest
  import torch._dynamo.config
  import torch._numpy
  from torch._numpy.testing import assert_equal
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, subtest, TestCase
label_desc: Use image node_id 1 for calling the TestScalarReturn obj's underlying member method code with example usage: obj.test_rndm_scalar(func, use_numpy) without return types