code: def test_load_without_training(
      create_or_load_mitie_extractor: Callable[
          [Dict[Text, Any]], MitieEntityExtractor
      ],
      caplog: LogCaptureFixture,
  ):
      with caplog.at_level(logging.DEBUG):
          create_or_load_mitie_extractor({}, load=True)
  
      assert any(
          "Failed to load MitieEntityExtractor from model storage."
          in message
          for message in caplog.messages
      )
  
imports: import logging
  import pytest
  from typing import Callable, Dict, Text, Any
  import re
  import copy
  from _pytest.logging import LogCaptureFixture
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.utils.mitie_utils import MitieModel, MitieNLP
  from rasa.nlu.tokenizers.tokenizer import Token
  from rasa.nlu.constants import EXTRACTOR, TOKENS_NAMES
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.constants import ENTITIES, ENTITY_ATTRIBUTE_CONFIDENCE, ENTITY_ATTRIBUTE_VALUE, ENTITY_ATTRIBUTE_START, ENTITY_ATTRIBUTE_END, ENTITY_ATTRIBUTE_TYPE, INTENT, TEXT
  from rasa.nlu.extractors.mitie_entity_extractor import MitieEntityExtractor
label_desc: Use image node_id 5 for calling a global function with example usage: test_load_without_training(create_or_load_mitie_extractor, caplog) without return types