code: def test_train_test_split_with_random_seed(filepaths):
      from rasa.shared.importers.utils import training_data_from_paths
  
      td = training_data_from_paths(filepaths, language="en")
  
      td_train_1, td_test_1 = td.train_test_split(
          train_frac=0.8, random_seed=1
      )
      td_train_2, td_test_2 = td.train_test_split(
          train_frac=0.8, random_seed=1
      )
      train_1_intent_examples = [
          e.get(TEXT) for e in td_train_1.intent_examples
      ]
      train_2_intent_examples = [
          e.get(TEXT) for e in td_train_2.intent_examples
      ]
  
      test_1_intent_examples = [
          e.get(TEXT) for e in td_test_1.intent_examples
      ]
      test_2_intent_examples = [
          e.get(TEXT) for e in td_test_2.intent_examples
      ]
  
      assert train_1_intent_examples == train_2_intent_examples
      assert test_1_intent_examples == test_2_intent_examples
  
imports: from pathlib import Path
  from typing import Text, List, Dict, Any
  from unittest.mock import Mock
  from _pytest.monkeypatch import MonkeyPatch
  import pytest
  import numpy
  import rasa.shared.utils.io
  from rasa.shared.core.constants import USER_INTENT_OUT_OF_SCOPE
  from rasa.shared.nlu.constants import TEXT, INTENT_RESPONSE_KEY, ENTITY_ATTRIBUTE_START, ENTITY_ATTRIBUTE_END, ENTITY_ATTRIBUTE_VALUE, ENTITY_ATTRIBUTE_TYPE, ENTITIES, INTENT, ACTION_NAME, FEATURE_TYPE_SENTENCE
  from rasa.nlu.convert import convert_training_data
  from rasa.nlu.extractors.mitie_entity_extractor import MitieEntityExtractor
  from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.loading import guess_format, UNK, load_data
  from rasa.shared.nlu.training_data.util import get_file_format_extension, template_key_to_intent_response_key, intent_response_key_to_template_key
  import rasa.shared.data
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.events import UserUttered, ActionExecuted
  from rasa.shared.core.training_data.structures import StoryGraph, StoryStep
  from rasa.shared.importers.importer import TrainingDataImporter, E2EImporter
label_desc: Use image node_id 15 for calling a global function with example usage: test_train_test_split_with_random_seed(filepaths) without return types