code: def test_train_force(
      run_in_simple_project_with_model: Callable[..., RunResult],
      tmp_path_factory: TempPathFactory,
  ):
      temp_dir = os.getcwd()
  
      assert os.path.exists(os.path.join(temp_dir, "models"))
      files = rasa.shared.utils.io.list_files(
          os.path.join(temp_dir, "models")
      )
      assert len(files) == 1
  
      run_in_simple_project_with_model("train", "--force")
  
      assert os.path.exists(os.path.join(temp_dir, "models"))
      files = rasa.shared.utils.io.list_files(
          os.path.join(temp_dir, "models")
      )
      assert len(files) == 2
  
      old_dir = tmp_path_factory.mktemp("old")
      _ = LocalModelStorage.from_model_archive(old_dir, files[0])
  
      new_dir = tmp_path_factory.mktemp("new")
      _ = LocalModelStorage.from_model_archive(new_dir, files[1])
  
      assert not rasa.utils.io.are_directories_equal(old_dir, new_dir)
  
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 6 for calling a global function with example usage: test_train_force(run_in_simple_project_with_model, tmp_path_factory) without return types