code: def test_initialization(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      configs_no_init = _config_zero_init(config)
      for model_class in self.all_model_classes:
          model = model_class(config=configs_no_init)
          for name, param in model.named_parameters():
              if "embeddings" not in name and param.requires_grad:
                  self.assertIn(
                      ((param.data.mean() * 1e9).round() / 1e9).item(),
                      [0.0, 1.0],
                      msg=f"Parameter {name} of model {model_class} seems not properly initialized",
                  )
  
imports: import collections
  import inspect
  import unittest
  from transformers import DonutSwinConfig
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import is_torch_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
label_desc: Use image node_id 13 for calling the DonutSwinModelTest obj's underlying member method code with example usage: obj.test_initialization() without return types