code: def add_repeating_note_stat(rl_tuner, action_note, stat_dict):
      """Updates stat dict if an excessively repeated note was played.
  
      Args:
        rl_tuner: An RLTuner object.
        action_note: An integer representing the chosen action.
        stat_dict: A dictionary containing fields for statistics about
          compositions.
      Returns:
        A dictionary of composition statistics with 'num_repeated_notes' field
        updated.
      """
      if rl_tuner.detect_repeating_notes(action_note):
          stat_dict["num_repeated_notes"] += 1
      return stat_dict
  
file_path: magenta/magenta/models/rl_tuner/rl_tuner_eval_metrics.py
imports: from magenta.models.rl_tuner import rl_tuner_ops
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 8 for calling a global function with example usage: add_repeating_note_stat(rl_tuner, action_note, stat_dict) and returns: stat_dict