code: def eval(self, input_filepath, args=QAEvalArgs()) -> EvalResult:
      return super(HappyQuestionAnswering, self).eval(
          input_filepath, args
      )
  
file_path: happy-transformer/happytransformer/happy_question_answering.py
imports: import csv
  from dataclasses import dataclass
  from typing import List, Union
  from datasets import Dataset
  from transformers import AutoModelForQuestionAnswering, DataCollatorWithPadding, QuestionAnsweringPipeline
  from tqdm import tqdm
  from happytransformer.adaptors import get_adaptor
  from happytransformer.args import QAEvalArgs, QATestArgs, QATrainArgs
  from happytransformer.fine_tuning_util import EvalResult
  from happytransformer.happy_transformer import HappyTransformer
label_desc: Use image node_id 4 for calling the HappyQuestionAnswering obj's underlying member method code with example usage: obj.eval(input_filepath, args) and returns: super