code: def to_indexes(vocab, words):
      return [vocab.stoi[w] for w in words]
  
imports: from __future__ import print_function, unicode_literals
  import random
  from contextlib import closing
  from multiprocessing import Pool
  import numpy
  import pandas
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset, random_split
  from torchtext.legacy import data
  from tqdm import tqdm
label_desc: Use image node_id 7 for calling a global function with example usage: to_indexes(vocab, words) and returns: unknown