code: def add_high_low_unique_stats(rl_tuner, stat_dict):
      """Updates stat dict if rl_tuner.composition has unique extrema notes.
  
      Args:
        rl_tuner: An RLTuner object.
        stat_dict: A dictionary containing fields for statistics about
          compositions.
      Returns:
        A dictionary of composition statistics with 'notes_in_repeated_motif'
        field updated.
      """
      if rl_tuner.detect_high_unique(rl_tuner.composition):
          stat_dict["num_high_unique"] += 1
      if rl_tuner.detect_low_unique(rl_tuner.composition):
          stat_dict["num_low_unique"] += 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 12 for calling a global function with example usage: add_high_low_unique_stats(rl_tuner, stat_dict) and returns: stat_dict