code: def load_speaker(path):
      speakers = []
      with open(path) as f:
          for line in f.readlines():
              sample = eval(line.strip())
              assert "speaker" in sample
              speakers.append(sample["speaker"])
      return speakers
  
file_path: fairseq/examples/textless_nlp/pgslm/quantize_f0.py
imports: from collections import defaultdict
  from functools import partial
  import numpy
  import torch
  from tqdm import tqdm
  from data_utils import dump_speaker_f0_stat, F0Stat, load_audio_path, load_f0
label_desc: Use image node_id 1 for calling a global function with example usage: load_speaker(path) and returns: speakers