code: def test_get_unipelt(self):
      model = self.get_model()
      n_layers = len(list(model.iter_layers()))
      # In UniPELT, prefix tuning has gates in every layer
      n_prefix_layers = (
          1.5 * n_layers
          if model.config.is_encoder_decoder
          else n_layers
      )
      self.run_get_test(
          model, UniPELTConfig(), n_layers * 2 + n_prefix_layers
      )
  
file_path: adapters/tests/methods/test_unipelt.py
imports: from adapters import UniPELTConfig
  from transformers.testing_utils import require_torch, torch_device
  from .base import AdapterMethodBaseTestMixin
label_desc: Use image node_id 4 for calling the UniPELTTestMixin obj's underlying member method code with example usage: obj.test_get_unipelt() without return types