code: def runTest(self):
      data = self.session.createDataFrame(
          [("this is some/text I wrote",)], ["text"]
      )
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
      tokenizer = (
          Tokenizer().setInputCols(["document"]).setOutputCol("token")
      )
      normalizer = (
          Normalizer()
          .setInputCols(["token"])
          .setOutputCol("normalized")
          .setLowercase(False)
          .setMinLength(4)
          .setMaxLength(10)
      )
  
      assembled = document_assembler.transform(data)
      tokens = tokenizer.fit(assembled).transform(assembled)
      normalizer.fit(tokens).transform(tokens).show()
  
file_path: spark-nlp/python/test/annotator/normalizer_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 NormalizerTestSpec obj's underlying member method code with example usage: obj.runTest() without return types