code: def test_pickle(model):
      pkl = pickle.dumps(model)
      pickle.loads(pkl)
  
file_path: pytorch-forecasting/tests/test_models/test_nhits.py
imports: import pickle
  import shutil
  import lightning.pytorch
  from lightning.pytorch.callbacks import EarlyStopping
  from lightning.pytorch.loggers import TensorBoardLogger
  import pytest
  from pytorch_forecasting.metrics import MQF2DistributionLoss, QuantileLoss
  from pytorch_forecasting.metrics.distributions import ImplicitQuantileNetworkDistributionLoss
  from pytorch_forecasting.models import NHiTS
label_desc: Use image node_id 4 for calling a global function with example usage: test_pickle(model) without return types