code: def normalize_answer(prediction: str) -> str:
      answer = qa_utils.normalize_answer(
          prediction, punc_chars=_PUNCTUATION, punc_repl=""
      )
      return answer.strip()
  
file_path: scenic/scenic/projects/knowledge_visual_language/models/metrics_vqa.py
imports: import string
  from typing import Any
  from clu import metrics
  import clu.values
  import flax
  import jax.numpy
  import numpy
  from scenic.projects.knowledge_visual_language.data import data_utils
  from scenic.projects.t5 import tokenizer
  from scenic.projects.vit_vqa.models import qa_utils
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_answer(prediction) and returns: answer