code: def normalize_string(s):
      s = "".join(c for c in s.lower() if c not in string.punctuation)
      s = re.sub(r"\b(a|an|the)\b", " ", s)
      return " ".join(s.split())
  
file_path: tinygrad/examples/mlperf/metrics.py
imports: import re
  import string
  from collections import Counter
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: normalize_string(s) and returns: str