code: def test_parse_view_configs_one_view(
      self, variant, expected_patch_size
  ):
      view_configs = config_utils.parse_view_configs(variant)
      self.assertLen(view_configs, 1)
      self.assertDictEqual(
          view_configs[0].to_dict(),
          {
              "hidden_size": 768,
              "num_heads": 12,
              "mlp_dim": 3072,
              "num_layers": 12,
              "patches": {"size": expected_patch_size},
          },
      )
  
imports: from absl.testing import parameterized
  from scenic.projects.mtv import config_utils
  import tensorflow
label_desc: Use image node_id 1 for calling the ConfigUtilsTest obj's underlying member method code with example usage: obj.test_parse_view_configs_one_view(variant, expected_patch_size) without return types