code: def test_train_help(run: Callable[..., RunResult]):
      output = run("train", "--help")
  
      help_text = f"""usage: {RASA_EXE} train [-h] [-v] [-vv] [--quiet]
                    [--logging-config-file LOGGING_CONFIG_FILE]
                    [--data DATA [DATA ...]] [-c CONFIG] [-d DOMAIN] [--out OUT]
                    [--dry-run] [--skip-validation]
                    [--fail-on-validation-warnings]
                    [--validation-max-history VALIDATION_MAX_HISTORY]
                    [--augmentation AUGMENTATION] [--debug-plots]
                    [--num-threads NUM_THREADS]
                    [--fixed-model-name FIXED_MODEL_NAME] [--persist-nlu-data]
                    [--force] [--finetune [FINETUNE]]
                    [--epoch-fraction EPOCH_FRACTION] [--endpoints ENDPOINTS]
                    {{core,nlu}} ..."""
  
      lines = help_text.split("\n")
      # expected help text lines should appear somewhere in the output
      printed_help = {line.strip() for line in output.outlines}
      for line in lines:
          assert line.strip() in printed_help
  
imports: import os
  import sys
  from pathlib import Path
  from _pytest.capture import CaptureFixture
  import pytest
  from typing import Callable, List
  from _pytest.pytester import RunResult
  from _pytest.tmpdir import TempPathFactory
  import rasa.shared.utils.io
  from rasa.constants import NUMBER_OF_TRAINING_STORIES_FILE
  from rasa.core.policies.policy import Policy
  from rasa.engine.storage.local_model_storage import LocalModelStorage
  from rasa.engine.storage.resource import Resource
  from rasa.shared.core.domain import Domain
  from rasa.model_training import CODE_NEEDS_TO_BE_RETRAINED, CODE_FORCED_TRAINING
  from rasa.shared.constants import LATEST_TRAINING_DATA_FORMAT_VERSION
  from rasa.shared.nlu.training_data.training_data import DEFAULT_TRAINING_DATA_OUTPUT_PATH
  import rasa.utils.io
  from tests.cli.conftest import RASA_EXE
label_desc: Use image node_id 17 for calling a global function with example usage: test_train_help(run) without return types