code: def test_simple_model_is_pickleable_with_missing_parameters(self):
      model = SimpleModel(output_dim=2)
  
      with tf.compat.v1.Session(graph=tf.Graph()):
          state = tf.compat.v1.placeholder(
              shape=[None, 10, 5], dtype=tf.float32
          )
          model.build(state)
  
          model.parameters = {
              k: np.zeros_like(v) for k, v in model.parameters.items()
          }
          all_one = {
              k: np.ones_like(v) for k, v in model.parameters.items()
          }
          model.parameters = all_one
          h_data = pickle.dumps(model)
  
      with tf.compat.v1.Session(graph=tf.Graph()):
          model_pickled = pickle.loads(h_data)
          state = tf.compat.v1.placeholder(
              shape=[None, 10, 5], dtype=tf.float32
          )
          # remove one of the parameters
          del model_pickled._default_parameters[
              "SimpleModel/state/hidden_0/kernel:0"
          ]
          with pytest.warns(UserWarning):
              model_pickled.build(state)
  
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.tf.models.mlp import mlp
  from garage.tf.models.model import Model
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 13 for calling the TestModel obj's underlying member method code with example usage: obj.test_simple_model_is_pickleable_with_missing_parameters() without return types