code: def fix_html(x: str) -> str:
      "List of replacements from html strings in `x`."
      re1 = re.compile(r"  +")
      x = (
          x.replace("#39;", "'")
          .replace("amp;", "&")
          .replace("#146;", "'")
          .replace("nbsp;", " ")
          .replace("#36;", "$")
          .replace("\\n", "\n")
          .replace("quot;", "'")
          .replace("<br />", "\n")
          .replace('\\"', '"')
          .replace(" @.@ ", ".")
          .replace(" @-@ ", "-")
          .replace(" @,@ ", ",")
          .replace("\\", " \\ ")
      )
      return re1.sub(" ", html.unescape(x))
  
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 5 for calling a global function with example usage: fix_html(x) and returns: re1