code: def test_save(self):
      model = MLModel(self.spec)
  
      # Verify "save" can be called twice and the saved
      # model can be loaded successfully each time
      for _ in range(0, 2):
          package = tempfile.TemporaryDirectory(suffix=".mlpackage")
          package.cleanup()
  
          model.save(package.name)
          loaded_model = MLModel(package.name)
  
          if utils._macos_version() >= (12, 0):
              preds = loaded_model.predict(
                  {"feature_1": 1.0, "feature_2": 1.0}
              )
              assert preds is not None
              assert preds["output"] == 3.1
  
          _remove_path(package.name)
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import pytest
  import coremltools
  from coremltools import ComputeUnit, utils
  from coremltools._deps import _HAS_TORCH
  from coremltools.converters.mil import Builder
  from coremltools.libmodelpackage import ModelPackage
  from coremltools.models import MLModel
  from coremltools.models.utils import _MLPACKAGE_AUTHOR_NAME, _WEIGHTS_DIR_NAME
  from coremltools.proto import Model_pb2
label_desc: Use image node_id 9 for calling the TestMLModel obj's underlying member method code with example usage: obj.test_save() without return types