code: def setUp(self):
      with open(
          os.getcwd() + "/../src/test/resources/tapas/rich_people.json",
          "rt",
      ) as F:
          table_json_source = "".join(F.readlines())
  
      self.data = SparkContextForTest.spark.createDataFrame(
          [
              [
                  table_json_source,
                  "Who earns 100,000,000? Who has more money? How much money has Donald Trump?",
              ],
              [table_json_source, "How much people earn?"],
              ["  ", "Place holder question"],
              ["  ", " "],
              ["  ", ""],
              ["", " "],
              ["", ""],
          ]
      ).toDF("table_json", "questions")
  
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 1 for calling the TapasForQuestionAnsweringTestSpec obj's underlying member method code with example usage: obj.setUp() without return types