code: def test_model_package_create_transformer_with_product_id(
      sagemaker_session,
  ):
      model_package_response = copy.deepcopy(
          DESCRIBE_MODEL_PACKAGE_RESPONSE
      )
      model_package_response["InferenceSpecification"][
          "Containers"
      ].append(
          {
              "Image": "1.dkr.ecr.us-east-2.amazonaws.com/some-container:latest",
              "ModelDataUrl": "s3://bucket/output/model.tar.gz",
              "ProductId": "some-product-id",
          }
      )
      sagemaker_session.sagemaker_client.describe_model_package = Mock(
          return_value=model_package_response
      )
  
      model_package = ModelPackage(
          role="role",
          model_package_arn="my-model-package",
          sagemaker_session=sagemaker_session,
      )
      model_package.name = "auto-generated-model"
      transformer = model_package.transformer(
          instance_count=1,
          instance_type="ml.m4.xlarge",
          env={"test": True},
      )
      assert isinstance(transformer, sagemaker.transformer.Transformer)
      assert transformer.model_name == "auto-generated-model"
      assert transformer.instance_type == "ml.m4.xlarge"
      assert transformer.env is None
  
imports: from __future__ import absolute_import
  import copy
  import pytest
  from mock import Mock, patch
  import sagemaker
  from sagemaker.model import ModelPackage
  from sagemaker.model_card.schema_constraints import ModelApprovalStatusEnum
label_desc: Use image node_id 12 for calling a global function with example usage: test_model_package_create_transformer_with_product_id(sagemaker_session) without return types