code: def test_wrongly_specified_training_strategies():
      with pytest.raises(
          KeyError, match="something is not in FlashRegistry"
      ):
          ImageClassifier(
              backbone="resnet18",
              training_strategy="something",
              training_strategy_kwargs={
                  "ways": 2,
                  "shots": 4,
                  "meta_batch_size": 10,
              },
          )
  
imports: import os
  from pathlib import Path
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _LEARN2LEARN_AVAILABLE, _TOPIC_IMAGE_AVAILABLE
  from flash.image import ImageClassificationData, ImageClassifier
  from flash.image.classification.adapters import TRAINING_STRATEGIES
  from torch.utils.data import DataLoader
  from tests.image.classification.test_data import _rand_image
label_desc: Use image node_id 5 for calling a global function with example usage: test_wrongly_specified_training_strategies() without return types