code: def get_nlu_data(
      self, language: Optional[Text] = "en"
  ) -> TrainingData:
      return self.training_data
  
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 3 for calling the DummyNLUDataImporter obj's underlying member method code with example usage: obj.get_nlu_data(language) and returns: self