code: def is_outlier(ground_truth_f0_conf):
      """Determine if ground truth f0 for audio sample is an outlier."""
      ground_truth_f0_conf = squeeze(ground_truth_f0_conf)
      return np.max(ground_truth_f0_conf) < MIN_F0_CONFIDENCE
  
imports: import dataclasses
  from absl import logging
  import ddsp
  import librosa
  import mir_eval
  import note_seq
  from note_seq import sequences_lib
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling a global function with example usage: is_outlier(ground_truth_f0_conf) and returns: unknown