code: def get_test_meta():
      meta = pd.read_csv(settings.META_FILE, na_filter=False)
      test_meta = meta[meta["is_train"] == 0]
      print(len(test_meta.values))
      return test_meta
  
imports: import os
  import json
  import sys
  import time
  import numpy
  import pandas
  from PIL import Image
  from tqdm import tqdm
  from pycocotools import mask
  from sklearn.model_selection import KFold
  import settings
label_desc: Use image node_id 14 for calling a global function with example usage: get_test_meta() and returns: test_meta