code: def test_metric_type_value_mismatch():
      with pytest.raises(
          ValueError,
          match=re.escape(
              "One of type [<class 'int'>, <class 'float'>] is expected for metric type number"
          ),
      ):
          Metric(
              name="test_training_metric",
              type=schema_constraints.MetricTypeEnum.NUMBER,
              value="123",
          )
  
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 15 for calling a global function with example usage: test_metric_type_value_mismatch() without return types