code: def fixture_model_overview_example():
      """Example model overview instance."""
      test_example = ModelOverview(
          model_id=MODEL_ID,
          model_name=MODEL_NAME,
          model_description=MODEL_DESCRIPTION,
          model_version=MODEL_VERSION,
          problem_type=PROBLEM_TYPE,
          algorithm_type=ALGORITHM_TYPE,
          model_creator=MODEL_CREATOR,
          model_owner=MODEL_OWNER,
          model_artifact=MODEL_ARTIFACT,
          inference_environment=INFERENCE_ENVRIONMENT,
      )
      return test_example
  
imports: from __future__ import absolute_import
  import io
  import os
  import json
  import datetime
  import re
  import logging
  import pytest
  from mock import patch, Mock
  from botocore.exceptions import ClientError
  import botocore.response
  from sagemaker.model_card import schema_constraints
  from sagemaker.model_card import Environment, ModelOverview, IntendedUses, BusinessDetails, ObjectiveFunction, TrainingMetric, HyperParameter, Metric, TrainingDetails, MetricGroup, EvaluationJob, AdditionalInformation, ModelCard, Function, TrainingJobDetails, ModelPackage
  from sagemaker.model_card.model_card import ModelCardExportJob, ModelPackageCreator, SourceAlgorithm, Container, InferenceSpecification
  from sagemaker.model_card.helpers import _MaxSizeArray, _IsList, _OneOf, _IsModelCardObject, _JSONEncoder, _hash_content_str, _DefaultToRequestDict, _SkipEncodingDecoding
  from sagemaker.model_card.evaluation_metric_parsers import EvaluationMetricTypeEnum, EVALUATION_METRIC_PARSERS
label_desc: Use image node_id 1 for calling a global function with example usage: fixture_model_overview_example() and returns: test_example