code: def test_step_func_requires_iterator(self) -> None:
      class Foo:
          def bar(self, state: State, data: object) -> object:
              return data
  
          def baz(
              self, state: State, data: Iterator[torch.Tensor]
          ) -> object:
              pass
  
      def dummy(a: int, b: str, data: Iterator[str]) -> None:
          pass
  
      foo = Foo()
  
      self.assertFalse(_step_requires_iterator(foo.bar))
      self.assertTrue(_step_requires_iterator(foo.baz))
      self.assertTrue(_step_requires_iterator(dummy))
  
imports: import unittest
  from typing import cast, Dict, Iterator
  import torch
  from torch import distributed, nn
  from torch.distributed import launcher
  from torch.utils.data import DataLoader
  from torch.utils.data.distributed import DistributedSampler
  from torchtnt.framework._loop_utils import _is_done, _is_epoch_done, _maybe_set_distributed_sampler_epoch, _reset_module_training_mode, _set_module_training_mode, _step_requires_iterator
  from torchtnt.framework._test_utils import generate_random_dataset
  from torchtnt.framework.state import State
  from torchtnt.utils.progress import Progress
  from torchtnt.utils.test_utils import get_pet_launch_config
label_desc: Use image node_id 5 for calling the LoopUtilsTest obj's underlying member method code with example usage: obj.test_step_func_requires_iterator() and returns: data