code: def test_qa_batch():
      out = qa(
          [qa_example["q1"], qa_example["q2"]],
          [qa_example["c"], qa_example["c"]],
      )
      assert isinstance(out, list), "Output is not a list"
      assert len(out) == 2, "Incorrect number of answers"
      assert out[0] == qa_example["a1"], "Wrong answer to simple qa"
      assert out[1] == qa_example["a2"], "Wrong answer to simple qa"
  
imports: from backprop import Emotion, ImageClassification, QA, Summarisation, TextClassification, TextGeneration, TextVectorisation
  import numpy
  import torch
  import os
label_desc: Use image node_id 4 for calling a global function with example usage: test_qa_batch() without return types