code: def norm(string):
      # normalise base exceptions,  e.g. punctuation or currency symbols
      if string in BASE_NORMS:
          return BASE_NORMS[string]
      # set stem word as norm,  if available,  adapted from:
      # https://github.com/explosion/spaCy/blob/master/spacy/lang/hi/lex_attrs.py
      # https://www.researchgate.net/publication/237261579_Structure_of_Nepali_Grammar
      for suffix_group in reversed(_stem_suffixes):
          length = len(suffix_group[0])
          if len(string) <= length:
              break
          for suffix in suffix_group:
              if string.endswith(suffix):
                  return string[:-length]
      return string
  
label_desc: Use image node_id 1 for calling a global function with example usage: norm(string) and returns: string, BASE_NORMS, string