code: def test_defaults(
      default_model_storage: ModelStorage,
      default_execution_context: ExecutionContext,
  ):
      classifier = create_fallback_classifier(
          {}, default_model_storage, default_execution_context
      )
  
      assert (
          classifier.component_config[THRESHOLD_KEY]
          == DEFAULT_NLU_FALLBACK_THRESHOLD
      )
      assert classifier.component_config[AMBIGUITY_THRESHOLD_KEY] == 0.1
  
file_path: rasa/tests/nlu/classifiers/test_fallback_classifier.py
imports: import copy
  from typing import Dict, Text, Any
  import pytest
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers import fallback_classifier
  from rasa.shared.constants import DEFAULT_NLU_FALLBACK_INTENT_NAME
  from rasa.core.constants import DEFAULT_NLU_FALLBACK_THRESHOLD
  from rasa.nlu.classifiers.fallback_classifier import THRESHOLD_KEY, AMBIGUITY_THRESHOLD_KEY, FallbackClassifier
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import INTENT, TEXT, INTENT_NAME_KEY, INTENT_RANKING_KEY, PREDICTED_CONFIDENCE_KEY
label_desc: Use image node_id 4 for calling a global function with example usage: test_defaults(default_model_storage, default_execution_context) without return types