code: def test_run(self):
      document_assembler = (
          MultiDocumentAssembler()
          .setInputCols("question", "context")
          .setOutputCols("document_question", "document_context")
      )
  
      qa_classifier = self.tested_annotator
  
      pipeline = Pipeline(stages=[document_assembler, qa_classifier])
  
      model = pipeline.fit(self.inputDataset)
      model.transform(self.inputDataset).show()
      light_pipeline = LightPipeline(model)
      annotations_result = light_pipeline.fullAnnotate(
          self.question, self.context
      )
  
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 2 for calling the CamemBertForQuestionAnsweringTestSpec obj's underlying member method code with example usage: obj.test_run() without return types