code: def test_train_core(run_in_simple_project: Callable[..., RunResult]):
      run_in_simple_project(
          "train",
          "core",
          "-c",
          "config.yml",
          "-d",
          "domain.yml",
          "--stories",
          "data",
          "--out",
          "train_rasa_models",
          "--fixed-model-name",
          "rasa-model",
      )
  
      assert os.path.exists("train_rasa_models/rasa-model.tar.gz")
      assert os.path.isfile("train_rasa_models/rasa-model.tar.gz")
  
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 12 for calling a global function with example usage: test_train_core(run_in_simple_project) without return types