code: def test_skip_encoding_descriptor():
      class ExampleClass:
          attr1 = _SkipEncodingDecoding(dict)
  
          def __init__(self, attr1):
              self.attr1 = attr1
  
      assert ExampleClass({"test": 1})
  
      with pytest.raises(
          ValueError,
          match=re.escape("Please assign a <class 'dict'> to attr1"),
      ):
          ExampleClass(attr1="test1")
  
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 20 for calling a global function with example usage: test_skip_encoding_descriptor() without return types