code: def preprocess(example):
      """Chain all preprocessing steps into one function to not fill cache."""
      results = dict()
      results.update(get_hash(example))
      results.update(line_stats(example))
      results.update(alpha_stats(example))
      results.update(char_token_ratio(example))
      results.update(is_autogenerated(example))
      results.update(is_config_or_test(example))
      results.update(has_no_keywords(example))
      results.update(has_few_assignments(example))
      return results
  
imports: import gzip
  import hashlib
  import json
  import multiprocessing
  import os
  import re
  import shutil
  import time
  from pathlib import Path
  import numpy
  from datasets import load_dataset
  from arguments import PreprocessingArguments
  from minhash_deduplication import deduplicate_dataset
  from transformers import AutoTokenizer, HfArgumentParser
label_desc: Use image node_id 10 for calling a global function with example usage: preprocess(example) and returns: results