code: def test_jumpstart_usage_info_message(mock_get_manifest):
      mock_get_manifest.return_value = []
  
      usage_info_message = "This model might change your life."
  
      def make_info_spec(*largs, **kwargs):
          spec = get_spec_from_base_spec(
              model_id="pytorch-eqa-bert-base-cased", version="*"
          )
          spec.usage_info_message = usage_info_message
          return spec
  
      with patch("logging.Logger.info") as mocked_info_log:
          utils.emit_logs_based_on_model_specs(
              make_info_spec(), "us-west-2", MOCK_CLIENT
          )
  
          mocked_info_log.assert_called_with(usage_info_message)
  
imports: from __future__ import absolute_import
  import os
  from unittest import TestCase
  from mock.mock import Mock, patch
  import pytest
  import random
  from sagemaker.jumpstart import utils
  from sagemaker.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_SESSION, ENV_VARIABLE_DISABLE_JUMPSTART_LOGGING, ENV_VARIABLE_JUMPSTART_CONTENT_BUCKET_OVERRIDE, ENV_VARIABLE_JUMPSTART_GATED_CONTENT_BUCKET_OVERRIDE, JUMPSTART_DEFAULT_REGION_NAME, JUMPSTART_GATED_AND_PUBLIC_BUCKET_NAME_SET, JUMPSTART_LOGGER, JUMPSTART_REGION_NAME_SET, JUMPSTART_RESOURCE_BASE_NAME, JumpStartScriptScope
  from functools import partial
  from sagemaker.jumpstart.enums import JumpStartTag, MIMEType
  from sagemaker.jumpstart.exceptions import DeprecatedJumpStartModelError, VulnerableJumpStartModelError
  from sagemaker.jumpstart.types import JumpStartModelHeader, JumpStartVersionedModelId
  from tests.unit.sagemaker.jumpstart.utils import get_spec_from_base_spec
  from mock import MagicMock
label_desc: Use image node_id 24 for calling a global function with example usage: test_jumpstart_usage_info_message(mock_get_manifest) and returns: spec