code: def strip_accents_unicode(s: str) -> str:
      """Transform accentuated unicode symbols into their ASCII counterpart."""
      try:
          # If `s` is ASCII-compatible, then it does not contain any accented
          # characters and we can avoid an expensive list comprehension
          s.encode("ASCII", errors="strict")
          return s
      except UnicodeEncodeError:
          normalized = unicodedata.normalize("NFKD", s)
          return "".join(
              [c for c in normalized if not unicodedata.combining(c)]
          )
  
imports: from __future__ import annotations
  import collections
  import functools
  import itertools
  import math
  import operator
  import re
  import typing
  import unicodedata
  import pandas
  from scipy import sparse
  from river import base
label_desc: Use image node_id 1 for calling a global function with example usage: strip_accents_unicode(s) and returns: s, str