code: def __init__(
      self,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> None:
      super().__init__(config)
  
      self._model_storage = model_storage
      self._resource = resource
  
file_path: rasa/data/test_classes/custom_graph_components/nlu_meta_fallback.py
imports: from typing import Dict, Text, Any, List
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.nlu.classifiers.fallback_classifier import FallbackClassifier
label_desc: Use image node_id 1 to create a new MetaFallback object from inherited base classes: FallbackClassifier with example: obj = MetaFallback(config, model_storage, resource, execution_context)