code: def prepare_metadata():
      print("creating metadata")
      meta = utils.generate_metadata(
          train_images_dir=settings.TRAIN_DIR,
          test_images_dir=settings.TEST_DIR,
          depths_filepath=settings.DEPTHS_FILE,
      )
      meta.to_csv(settings.META_FILE, index=None)
  
file_path: nni/examples/trials/kaggle-tgs-salt/preprocess.py
imports: import os
  import pandas
  import numpy
  import json
  import torch
  import torch.nn
  from keras.preprocessing.image import load_img
  from sklearn.model_selection import StratifiedKFold
  import settings
  import utils
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_metadata() without return types