code: def test_initialize_one_view_from_vit_parameters_classifier_token(
      self, restored_model_classifier
  ):
      self.mtv_cfg.model.classifier = "token"
      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, 8))
      self.restored_vit_cfg.model.classifier = restored_model_classifier
      if restored_model_classifier == "token":
          self.restored_vit_params.update({"cls": np.ones((1, 1, 8))})
          self.restored_vit_params["Transformer"]["posembed_input"][
              "pos_embedding"
          ] = jnp.ones((1, 1 + 6 * 6, 8))
          self.expected_updated_mtv_params_from_vit["MultiviewEncoder"][
              "posembed_input_view0"
          ]["pos_embedding"] = jnp.ones((1, 1 + 6 * 6, 8))
      else:
          self.expected_updated_mtv_params_from_vit["MultiviewEncoder"][
              "posembed_input_view0"
          ]["pos_embedding"] = jnp.concatenate(
              [
                  jnp.zeros((1, 1, 8)),
                  jnp.ones((1, 6 * 6, 8)),
              ],
              axis=1,
          )
      self.expected_updated_mtv_params_from_vit["MultiviewEncoder"][
          "posembed_input_view1"
      ]["pos_embedding"] = np.zeros((1, 1 + 6 * 6, 8))
      if restored_model_classifier == "token":
          self.expected_updated_mtv_params_from_vit.update(
              {
                  "cls_view0": jnp.ones((1, 2, 1, 8)),
                  "cls_view1": np.zeros((1, 1, 1, 16)),
              }
          )
      else:
          self.expected_updated_mtv_params_from_vit.update(
              {
                  "cls_view0": np.zeros((1, 2, 1, 8)),
                  "cls_view1": np.zeros((1, 1, 1, 16)),
              }
          )
      model_utils.initialize_one_view_from_vit_parameters(
          self.mtv_cfg,
          self.mtv_params,
          self.restored_vit_cfg,
          self.restored_vit_params,
          view_idx=0,
      )
      self.assertDictEqualRecursive(
          self.mtv_params, self.expected_updated_mtv_params_from_vit
      )
  
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 12 for calling the ModelUtilsTest obj's underlying member method code with example usage: obj.test_initialize_one_view_from_vit_parameters_classifier_token(restored_model_classifier) without return types