code: def test_constructor(self):
      model = nn.Sequential(nn.Linear(16, 16))
      sparsifier = WeightNormSparsifier()
      sparsifier.prepare(model, config=None)
      scheduler = ImplementedScheduler(sparsifier)
  
      assert scheduler.sparsifier is sparsifier
      assert scheduler._step_count == 1
      assert scheduler.base_sl == [
          sparsifier.groups[0]["sparsity_level"]
      ]
  
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 1 for calling the TestScheduler obj's underlying member method code with example usage: obj.test_constructor() without return types