code: def test_order_of_steps(self):
      data_list, data_with_config, defaults = self._get_data()
      sparsifier = self._get_sparsifier(
          data_list, data_with_config, defaults
      )
      schedule_param = self._get_schedule_param()
      scheduler = self._get_scheduler(sparsifier, schedule_param)
  
      # Sparsifier step is not called
      with self.assertWarns(UserWarning):
          scheduler.step()
  
      # Correct order has no warnings
      # Note: This will trigger if other warnings are present.
      with warnings.catch_warnings(record=True) as w:
          sparsifier.step()
          scheduler.step()
          # Make sure there is no warning related to the base_data_scheduler
          for warning in w:
              fname = warning.filename
              fname = "/".join(fname.split("/")[-5:])
              assert (
                  fname
                  != "torch/ao/sparsity/experimental/scheduler/data_scheduler/base_data_scheduler.py"
              )
  
imports: import logging
  import warnings
  from torch.testing._internal.common_utils import TestCase
  from torch import nn
  import torch
  from typing import Tuple
  import copy
  from torch.ao.pruning._experimental.data_sparsifier import DataNormSparsifier
  from torch.ao.pruning._experimental.data_scheduler import BaseDataScheduler
label_desc: Use image node_id 7 for calling the TestBaseDataScheduler obj's underlying member method code with example usage: obj.test_order_of_steps() without return types