code: def setUp(self):
      table_json_source = (
          os.getcwd() + "/../src/test/resources/tapas/rich_people.json"
      )
      with open(table_json_source, "rt") as F:
          self.table = "".join(F.readlines())
  
      self.question1 = "Who earns 100,000,000?"
      self.question2 = "How much people earn?"
      self.data = SparkContextForTest.spark.createDataFrame(
          [[self.table, self.question1], [self.table, self.question2]]
      ).toDF("table_json", "questions")
  
imports: import os
  import unittest
  import pytest
  from pyspark.sql.functions import col
  from sparknlp.pretrained import PretrainedPipeline
  from test.util import SparkSessionForTest, SparkContextForTest
  from sparknlp.annotator import *
  from sparknlp.base import *
label_desc: Use image node_id 1 for calling the LightPipelineTapasInputTest obj's underlying member method code with example usage: obj.setUp() without return types