code: def runTest(self):
      document_assembler = (
          MultiDocumentAssembler()
          .setInputCols("table_json", "questions")
          .setOutputCols("document_table", "document_questions")
      )
  
      sentence_detector = (
          SentenceDetector()
          .setInputCols(["document_questions"])
          .setOutputCol("questions")
      )
  
      table_assembler = (
          TableAssembler()
          .setInputCols(["document_table"])
          .setOutputCol("table")
      )
  
      tapas = (
          TapasForQuestionAnswering()
          .pretrained()
          .setMaxSentenceLength(512)
          .setInputCols(["questions", "table"])
          .setOutputCol("answers")
      )
  
      pipeline = Pipeline(
          stages=[
              document_assembler,
              sentence_detector,
              table_assembler,
              tapas,
          ]
      )
  
      model = pipeline.fit(self.data)
      model.transform(self.data).selectExpr(
          "explode(answers) AS answer"
      ).select("answer").show(truncate=False)
  
file_path: spark-nlp/python/test/annotator/classifier_dl/tapas_for_question_answering_test.py
imports: import os
  import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkContextForTest
label_desc: Use image node_id 2 for calling the TapasForQuestionAnsweringTestSpec obj's underlying member method code with example usage: obj.runTest() without return types