code: def setUp(self):
      self.question = "What's my name?"
      self.context = "My name is Clara and I live in Berkeley."
      self.data = SparkContextForTest.spark.createDataFrame(
          [[self.question, self.context]]
      ).toDF("question", "context")
  
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 LightPipelineQAInputTest obj's underlying member method code with example usage: obj.setUp() without return types