code: def test_lottery_tickets():
      model = deepcopy(mock_model)
  
      pruner = LotteryTicketsPruner(model, train_loader, test_loader)
      pruner.prune(
          num_iterations=2,
          train_epochs=1,
          save_models=True,
          prune_percent=50,
      )
  
imports: from copy import deepcopy
  from torch.utils.data import DataLoader
  from KD_Lib.Pruning import LotteryTicketsPruner, WeightThresholdPruner
  from .utils import MockImageClassifier, MockVisionDataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_lottery_tickets() without return types