code: def dump_predicted_answers_to_file(
      output_filename, examples, predictions
  ):
      logging.info(f"Writing predictions to {output_filename}")
  
      with open(output_filename, "w") as writer:
          for ex in tqdm(examples):
              output_item = {
                  "id": ex.qas_id,
                  "context": ex.context_text,
                  "question": ex.question_text,
                  "predicted_answer": predictions[ex.qas_id],
              }
              writer.write(json.dumps(output_item) + "\n")
  
imports: import collections
  import json
  import re
  import string
  import torch
  from tqdm import tqdm
  from nemo.collections.nlp.parts.utils_funcs import tensor2list
  from nemo.utils import logging
label_desc: Use image node_id 13 for calling the QAMetrics obj's underlying member method code with example usage: obj.dump_predicted_answers_to_file(output_filename, examples, predictions) without return types