code: def test_model_api(self):
      model = MLModel(self.spec)
      self.assertIsNotNone(model)
  
      model.author = "Test author"
      self.assertEqual(model.author, "Test author")
      self.assertEqual(
          model.get_spec().description.metadata.author, "Test author"
      )
  
      model.license = "Test license"
      self.assertEqual(model.license, "Test license")
      self.assertEqual(
          model.get_spec().description.metadata.license, "Test license"
      )
  
      model.short_description = "Test model"
      self.assertEqual(model.short_description, "Test model")
      self.assertEqual(
          model.get_spec().description.metadata.shortDescription,
          "Test model",
      )
  
      model.version = "1.3"
      self.assertEqual(model.version, "1.3")
      self.assertEqual(
          model.get_spec().description.metadata.versionString, "1.3"
      )
  
      model.input_description["feature_1"] = "This is feature 1"
      self.assertEqual(
          model.input_description["feature_1"], "This is feature 1"
      )
  
      model.output_description["output"] = "This is output"
      self.assertEqual(
          model.output_description["output"], "This is output"
      )
  
      filename = tempfile.mktemp(suffix=".mlmodel")
      model.save(filename)
      loaded_model = MLModel(filename)
  
      self.assertEqual(model.author, "Test author")
      self.assertEqual(model.license, "Test license")
      # self.assertEqual(model.short_description, 'Test model')
      self.assertEqual(
          model.input_description["feature_1"], "This is feature 1"
      )
      self.assertEqual(
          model.output_description["output"], "This is output"
      )
  
imports: import os
  import tempfile
  import unittest
  import numpy
  import PIL.Image
  import coremltools
  from coremltools import ComputeUnit
  from coremltools._deps import _HAS_TORCH
  from coremltools.converters.mil import Builder
  from coremltools.models import MLModel, datatypes
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models.neural_network.utils import make_image_input, make_nn_classifier
  from coremltools.models.utils import _convert_neural_network_spec_weights_to_fp16, _is_macos, _macos_version, convert_double_to_float_multiarray_type, rename_feature, save_spec
  from coremltools.proto import Model_pb2
label_desc: Use image node_id 4 for calling the MLModelTest obj's underlying member method code with example usage: obj.test_model_api() without return types