code: def test_write_classification_errors():
      evaluation = EvaluationStore(
          action_predictions=["utter_goodbye"],
          action_targets=["utter_greet"],
          intent_predictions=["goodbye"],
          intent_targets=["greet"],
          entity_predictions=None,
          entity_targets=None,
      )
      events = [
          WronglyClassifiedUserUtterance(
              UserUttered("Hello", {"name": "goodbye"}), evaluation
          ),
          WronglyPredictedAction("utter_greet", "", "utter_goodbye"),
      ]
      tracker = DialogueStateTracker.from_events("default", events)
      dump = YAMLStoryWriter().dumps(tracker.as_story().story_steps)
      assert (
          dump.strip()
          == textwrap.dedent(
              f"""
          version: "{LATEST_TRAINING_DATA_FORMAT_VERSION}"
          stories:
          - story: default
            steps:
            - intent: greet  # predicted: goodbye: Hello
            - action: utter_greet  # predicted: utter_goodbye
  
      """
          ).strip()
      )
  
imports: import asyncio
  import sys
  from pathlib import Path
  import textwrap
  from typing import List, Text
  import pytest
  from _pytest.capture import CaptureFixture
  from _pytest.monkeypatch import MonkeyPatch
  import rasa.shared.utils.io
  import rasa.utils.io
  from rasa.core.agent import Agent
  from rasa.shared.core.events import UserUttered
  from rasa.core.test import EvaluationStore, WronglyClassifiedUserUtterance, WronglyPredictedAction
  from rasa.shared.core.trackers import DialogueStateTracker
  from rasa.shared.core.training_data.story_writer.yaml_story_writer import YAMLStoryWriter
  import rasa.model
  import rasa.cli.utils
  from rasa.nlu.test import NO_ENTITY
  import rasa.core
  from rasa.shared.nlu.constants import ENTITY_ATTRIBUTE_VALUE, ENTITY_ATTRIBUTE_START, ENTITY_ATTRIBUTE_END, ENTITY_ATTRIBUTE_TYPE, ENTITY_ATTRIBUTE_TEXT
  from rasa.shared.constants import LATEST_TRAINING_DATA_FORMAT_VERSION
label_desc: Use image node_id 9 for calling a global function with example usage: test_write_classification_errors() without return types