code: def test_initialize_from_mtv_parameters_classifier_token(self):
      self.mtv_cfg.init_from.positional_embed_size_change = "resize"
      self.mtv_params.update(
          {
              "cls_view0": np.zeros((1, 2, 1, 8)),
              "cls_view1": np.zeros((1, 1, 1, 16)),
          }
      )
      self.mtv_params["MultiviewEncoder"]["posembed_input_view0"][
          "pos_embedding"
      ] = np.zeros((1, 1 + 6 * 6, 8))
      self.mtv_params["MultiviewEncoder"]["posembed_input_view1"][
          "pos_embedding"
      ] = np.zeros((1, 1 + 6 * 6, 16))
      self.restored_mtv_params.update(
          {
              "cls_view0": np.ones((1, 4, 1, 8)),
              "cls_view1": np.ones((1, 2, 1, 16)),
          }
      )
      self.restored_mtv_params["MultiviewEncoder"][
          "posembed_input_view0"
      ]["pos_embedding"] = np.ones((1, 1 + 4 * 4, 8))
      self.restored_mtv_params["MultiviewEncoder"][
          "posembed_input_view1"
      ]["pos_embedding"] = np.ones((1, 1 + 4 * 4, 16))
      self.mtv_cfg.model.classifier = "token"
      self.restored_mtv_cfg.model.classifier = "token"
      model_utils.initialize_from_mtv_parameters(
          self.mtv_cfg,
          self.mtv_params,
          self.restored_mtv_cfg,
          self.restored_mtv_params,
          restore_output_projection=False,
      )
      self.expected_updated_mtv_params.update(
          {
              "cls_view0": np.ones((1, 2, 1, 8)),
              "cls_view1": np.ones((1, 1, 1, 16)),
          }
      )
      self.expected_updated_mtv_params["MultiviewEncoder"][
          "posembed_input_view0"
      ]["pos_embedding"] = jnp.ones((1, 1 + 6 * 6, 8))
      self.expected_updated_mtv_params["MultiviewEncoder"][
          "posembed_input_view1"
      ]["pos_embedding"] = jnp.ones((1, 1 + 6 * 6, 16))
      self.assertDictEqualRecursive(
          self.mtv_params, self.expected_updated_mtv_params
      )
  
imports: from absl.testing import parameterized
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.projects.mtv import model_utils
  import tensorflow
label_desc: Use image node_id 9 for calling the ModelUtilsTest obj's underlying member method code with example usage: obj.test_initialize_from_mtv_parameters_classifier_token() without return types