code: def rm_useless_spaces(t: str) -> str:
      "Remove multiple spaces in `t`."
      return re.sub(" {2,}", " ", t)
  
imports: import re
  import html
  import logging
  import pandas
  import os
  import random
  import torch
  from pathlib import Path
  import pickle
  import shutil
  import itertools
  import more_itertools
  from sklearn.model_selection import train_test_split
  from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler, Dataset
  from torch.utils.data.distributed import DistributedSampler
  import spacy
  from tqdm import tqdm, trange
  from fastprogress.fastprogress import master_bar, progress_bar
  from transformers import WEIGHTS_NAME, BertConfig, BertForSequenceClassification, BertTokenizer, XLMConfig, XLMForSequenceClassification, XLMTokenizer, XLNetConfig, XLNetForSequenceClassification, XLNetTokenizer, RobertaConfig, RobertaForSequenceClassification, RobertaTokenizer, DistilBertConfig, DistilBertForSequenceClassification, DistilBertTokenizer, CamembertConfig, CamembertForSequenceClassification, CamembertTokenizer, ElectraConfig, ElectraForSequenceClassification, ElectraTokenizer
label_desc: Use image node_id 3 for calling a global function with example usage: rm_useless_spaces(t) and returns: re