code: def regex_message_handler(
      default_model_storage: ModelStorage,
      default_execution_context: ExecutionContext,
  ) -> RegexMessageHandler:
      return RegexMessageHandler.create(
          config={},
          model_storage=default_model_storage,
          resource=Resource("unused"),
          execution_context=default_execution_context,
      )
  
file_path: rasa/tests/nlu/classifiers/test_regex_message_handler.py
imports: from rasa.nlu.constants import EXTRACTOR
  from rasa.shared.nlu.training_data.features import Features
  from typing import Text
  import numpy
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.core.domain import Domain
  from rasa.engine.storage.resource import Resource
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers.regex_message_handler import RegexMessageHandler
  import pytest
  from rasa.shared.constants import INTENT_MESSAGE_PREFIX
  from rasa.shared.nlu.constants import FEATURE_TYPE_SENTENCE, INTENT, TEXT, ENTITIES
label_desc: Use image node_id 1 for calling a global function with example usage: regex_message_handler(default_model_storage, default_execution_context) and returns: RegexMessageHandler