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.
docstr: Call method to normalize user input.
  
  The `__call__` method must be defined for this class. To ensure the functionality, the `__call__` method
  should obey the input/output arguments structure described below.
  
  Args:
      text: Input text.
  
  Return:
      Normalized python string object
code: def __call__(self, text: str) -> str:
      """Call method to normalize user input.
  
      The `__call__` method must be defined for this class. To ensure the functionality, the `__call__` method
      should obey the input/output arguments structure described below.
  
      Args:
          text: Input text.
  
      Return:
          Normalized python string object
  
      """
      return re.sub(self.pattern, " ", text.lower())
  
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 2 for calling the UserNormalizer obj's underlying member method code with example usage: obj.__call__(text) and returns: re