code: def runTest(self):
      data = self.spark.createDataFrame(
          [
              [
                  1,
                  """PG&E stated it scheduled the blackouts in response to forecasts for high winds
               amid dry conditions. The aim is to reduce the risk of wildfires. Nearly 800 thousand customers were 
               scheduled to be affected by the shutoffs which were expected to last through at least midday tomorrow.
               """.strip().replace(
                      "\n", " "
                  ),
              ],
          ]
      ).toDF("id", "text")
  
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("documents")
      )
  
      bart = (
          BartTransformer.pretrained("distilbart_xsum_12_6")
          .setInputCols(["documents"])
          .setOutputCol("answers")
      )
  
      pipeline = Pipeline().setStages([document_assembler, bart])
      results = pipeline.fit(data).transform(data)
  
      results.select("documents.result", "answers.result").show(
          truncate=False
      )
  
imports: import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkContextForTest
label_desc: Use image node_id 2 for calling the BartTransformerQATestSpec obj's underlying member method code with example usage: obj.runTest() without return types