code: def test_constructor(self):
      model = self._make_model()
      sparsifier, scheduler = self._make_scheduler(
          model=model, initially_zero=True
      )
      self.assertIs(
          scheduler.sparsifier,
          sparsifier,
          msg="Sparsifier is not properly attached",
      )
      self.assertEqual(
          scheduler._step_count,
          1,
          msg="Scheduler is initialized with incorrect step count",
      )
      self.assertEqual(
          scheduler.base_sl,
          self.sorted_sparse_levels,
          msg="Scheduler did not store the target sparsity levels correctly",
      )
  
      # Value before t_0 is 0
      self.assertEqual(
          self._get_sparsity_levels(sparsifier),
          scheduler._make_sure_a_list(0.0),
          msg="Sparsifier is not reset correctly after attaching to the Scheduler",
      )
  
      # Value before t_0 is s_0
      model = self._make_model()
      sparsifier, scheduler = self._make_scheduler(
          model=model, initially_zero=False
      )
      self.assertEqual(
          self._get_sparsity_levels(sparsifier),
          scheduler._make_sure_a_list(self.initial_sparsity),
          msg="Sparsifier is not reset correctly after attaching to the Scheduler",
      )
  
imports: from torch import nn
  from torch.ao.pruning import WeightNormSparsifier
  from torch.ao.pruning import BaseScheduler, LambdaSL, CubicSL
  from torch.testing._internal.common_utils import TestCase
  import warnings
label_desc: Use image node_id 5 for calling the TestCubicScheduler obj's underlying member method code with example usage: obj.test_constructor() without return types