docstr: Configures Ray Tune callback and config.
  
  :param train_fn: The function which runs the experiment trial.
  :param tune_config: The ray tune configuration dictionary.
  :param tune_callbacks: List of callbacks (not used yet).
  
  :returns: Tuple[Callable, Dict] The train_fn and tune_config, which will be passed to ray tune.
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code: def prepare_ray_tune(
      self,
      train_fn: Callable,
      tune_config: Dict[str, Any],
      tune_callbacks: List[Callable],
  ):
      """Configures Ray Tune callback and config.
  
      :param train_fn: The function which runs the experiment trial.
      :param tune_config: The ray tune configuration dictionary.
      :param tune_callbacks: List of callbacks (not used yet).
  
      :returns: Tuple[Callable, Dict] The train_fn and tune_config, which will be passed to ray tune.
      """
      return train_fn, tune_config
  
imports: from abc import ABC
  from typing import Any, Callable, Dict, List, Union
  from ludwig.api_annotations import PublicAPI
  from ludwig.types import HyperoptConfigDict, ModelConfigDict, TrainingSetMetadataDict
label_desc: Use image node_id 40 for calling the Callback obj's underlying member method code with example usage: obj.prepare_ray_tune(train_fn, tune_config, tune_callbacks) and returns: train_fn,  tune_config