code: def test_run(self):
      documentAssembler = (
          MultiDocumentAssembler()
          .setInputCols(["question", "context"])
          .setOutputCols(["document_question", "document_context"])
      )
  
      questionAnswering = self.tested_annotator
  
      pipeline = Pipeline().setStages(
          [documentAssembler, questionAnswering]
      )
  
      data = SparkContextForTest.spark.createDataFrame(
          [
              [
                  "What's my name?",
                  "My name is Clara and I live in Berkeley.",
              ]
          ]
      ).toDF("question", "context")
      result = pipeline.fit(data).transform(data)
      result.select("answer.result").show(truncate=False)
  
file_path: spark-nlp/python/test/annotator/classifier_dl/longformer_for_question_answering_test.py
imports: import os
  import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.annotator.common.has_max_sentence_length_test import HasMaxSentenceLengthTests
  from test.util import SparkContextForTest
label_desc: Use image node_id 2 for calling the LongformerForQuestionAnsweringTestSpec obj's underlying member method code with example usage: obj.test_run() without return types