code: def train_fn(config):
      train.report({"score": 1})
  
imports: import json
  import os
  from packaging.version import Version
  import pyarrow.fs
  import pytest
  from unittest.mock import MagicMock, patch
  import ray
  from ray import train, tune
  from ray.air._internal import usage
  from ray.air._internal.usage import AirEntrypoint
  from ray.air.integrations import wandb, mlflow, comet
  from ray.train._internal.storage import StorageContext
  from ray.tune.callback import Callback
  from ray.tune.experiment.experiment import Experiment
  from ray.tune.logger import LoggerCallback
  from ray.tune.logger.aim import AimLoggerCallback
  from ray.tune.utils.callback import DEFAULT_CALLBACK_CLASSES
  from ray._private.usage.usage_lib import TagKey
label_desc: Use image node_id 3 for calling a global function with example usage: train_fn(config) without return types