code: def runTest(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
      tokenizer = (
          Tokenizer().setInputCols(["document"]).setOutputCol("token")
      )
      lemmatizer = (
          Lemmatizer()
          .setInputCols(["token"])
          .setOutputCol("lemma")
          .setDictionary(
              path="file:///"
              + os.getcwd()
              + "/../src/test/resources/lemma-corpus-small/lemmas_small.txt",
              key_delimiter="->",
              value_delimiter="\t",
          )
      )
      assembled = document_assembler.transform(self.data)
      tokenized = tokenizer.fit(assembled).transform(assembled)
      lemmatizer.fit(tokenized).transform(tokenized).show()
  
file_path: spark-nlp/python/test/annotator/lemmatizer_test.py
imports: import os
  import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from sparknlp.training import CoNLLU
  from test.util import SparkContextForTest
label_desc: Use image node_id 2 for calling the LemmatizerTestSpec obj's underlying member method code with example usage: obj.runTest() without return types