code: def setUp(self):
      self.spark = SparkContextForTest.spark
      self.question = "Où est-ce que je vis?"
      self.context = "Mon nom est Wolfgang et je vis à Berlin"
      self.inputDataset = self.spark.createDataFrame(
          [[self.question, self.context]]
      ).toDF("question", "context")
  
      self.tested_annotator = (
          CamemBertForQuestionAnswering.pretrained()
          .setInputCols("document_question", "document_context")
          .setOutputCol("answer")
          .setCaseSensitive(True)
          .setMaxSentenceLength(512)
      )
  
file_path: spark-nlp/python/test/annotator/classifier_dl/camembert_for_question_aswering_test.py
imports: 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 1 for calling the CamemBertForQuestionAnsweringTestSpec obj's underlying member method code with example usage: obj.setUp() without return types