code: def __init__(self, messages: List[Message]) -> None:
      self.training_data = TrainingData(training_examples=messages)
  
imports: import os
  from pathlib import Path
  import copy
  from typing import Callable, List, Optional, Text, Dict, Any
  from _pytest.monkeypatch import MonkeyPatch
  import pytest
  from rasa.engine.graph import ExecutionContext, GraphComponent, GraphSchema, SchemaNode
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.graph_components.validators.finetuning_validator import FinetuningValidator
  from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
  from rasa.core.policies.rule_policy import RulePolicy
  from rasa.shared.constants import DEFAULT_CONFIG_PATH, DEFAULT_DATA_PATH, DEFAULT_DOMAIN_PATH
  from rasa.shared.core.domain import KEY_RESPONSES, Domain
  from rasa.shared.importers.rasa import RasaFileImporter
  from rasa.shared.importers.importer import NluDataImporter, TrainingDataImporter
  import rasa.shared.utils.io
  from rasa.shared.exceptions import InvalidConfigException
  from rasa.shared.nlu.constants import ACTION_NAME, INTENT, TEXT
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
label_desc: Use image node_id 1 to create a new DummyNLUDataImporter object from inherited base classes: NluDataImporter with example: obj = DummyNLUDataImporter(messages)