docstr: test that after reloading an mlmodel from the spec, the weights path is updated
docstr_tok: ["test","that","after","reloading","an","mlmodel","from","the","spec",",","the","weights","path","is","updated"]
code: def test_weights_path_correctness(self):
      """
      test that after reloading an mlmodel from the spec, the weights path is updated
      """
      spec = self.mlmodel.get_spec()
      original_weight_dir_path = self.mlmodel.weights_dir
      assert os.path.exists(original_weight_dir_path)
      # load mlmodel from spec: this will create a new mlpackage in a temp location
      # and copy over the weights
      mlmodel_reloaded = MLModel(
          spec, weights_dir=original_weight_dir_path
      )
      assert os.path.exists(mlmodel_reloaded.weights_dir)
      assert mlmodel_reloaded.weights_dir != original_weight_dir_path
      assert (
          mlmodel_reloaded.weights_dir
          == mlmodel_reloaded.package_path
          + "/Data/"
          + _MLPACKAGE_AUTHOR_NAME
          + "/weights"
      )
  
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 11 for calling the TestSpecAndMLModelAPIs obj's underlying member method code with example usage: obj.test_weights_path_correctness() without return types