code: def test_reading_and_writing_end_to_end_stories_in_test_mode(
      domain: Domain,
  ):
      story_name = "test_writing_end_to_end_stories_in_test_mode"
  
      conversation_tests = f"""
  stories:
  - story: {story_name}
    steps:
    - intent: greet
      user: Hi
    - action: utter_greet
    - intent: greet
      user: |
        [Hi](test)
    - action: utter_greet
    - user: Hi
    - bot: Hi, I'm a bot.
    - user: |
        [Hi](test)
    - bot: Hi, I'm a bot.
      """
  
      end_to_end_tests = YAMLStoryReader().read_from_string(
          conversation_tests
      )
      dump = YAMLStoryWriter().dumps(
          end_to_end_tests, is_test_story=True
      )
  
      assert (
          dump.strip()
          == textwrap.dedent(
              f"""
          version: "{LATEST_TRAINING_DATA_FORMAT_VERSION}"
          stories:
          - story: {story_name}
            steps:
            - intent: greet
              user: |-
                Hi
            - action: utter_greet
            - intent: greet
              user: |-
                [Hi](test)
            - action: utter_greet
            - user: |-
                Hi
            - bot: Hi, I'm a bot.
            - user: |-
                [Hi](test)
            - bot: Hi, I'm a bot.
      """
          ).strip()
      )
  
imports: from pathlib import Path
  import textwrap
  from typing import Text
  from collections import OrderedDict
  import pytest
  from rasa.shared.constants import LATEST_TRAINING_DATA_FORMAT_VERSION
  from rasa.shared.core.constants import ACTION_SESSION_START_NAME, ACTION_LISTEN_NAME, ACTION_UNLIKELY_INTENT_NAME
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.events import ActionExecuted, UserUttered, DefinePrevUserUtteredFeaturization
  from rasa.shared.core.trackers import DialogueStateTracker
  from rasa.shared.core.training_data.story_reader.yaml_story_reader import YAMLStoryReader
  from rasa.shared.core.training_data.story_writer.yaml_story_writer import YAMLStoryWriter
  from rasa.shared.core.training_data.structures import STORY_START
label_desc: Use image node_id 8 for calling a global function with example usage: test_reading_and_writing_end_to_end_stories_in_test_mode(domain) without return types