code: def runTest(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
  
      tokenizer = (
          Tokenizer().setInputCols(["document"]).setOutputCol("token")
      )
  
      spell_checker = (
          NorvigSweetingModel.pretrained()
          .setInputCols(["token"])
          .setOutputCol("spell")
      )
  
      pipeline = Pipeline(
          stages=[document_assembler, tokenizer, spell_checker]
      )
  
      pipelineDF = pipeline.fit(self.data).transform(self.data)
      pipelineDF.show()
  
file_path: spark-nlp/python/test/annotator/spell_check/norvig_sweeting_model_test.py
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 NorvigSweetingModelTestSpec obj's underlying member method code with example usage: obj.runTest() without return types