class_docstr: The `UserNormalizer` class is required to normalize a non-alphabet language text input.
  
  The user's defined normalizer is expected to return string that are fed into the tokenizer.
code: def __init__(self) -> None:
      self.pattern = r"[^a-z0-9]+"
  
file_path: torchmetrics/examples/rouge_score-own_normalizer_and_tokenizer.py
imports: import re
  from pprint import pprint
  from typing import Sequence
  from torchmetrics.text.rouge import ROUGEScore
label_desc: Use image node_id 1 to create a new UserNormalizer object  with example: obj = UserNormalizer()