code: def runTest(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
      tokenizer = (
          Tokenizer().setInputCols(["document"]).setOutputCol("token")
      )
      entity_extractor = (
          TextMatcher()
          .setInputCols(["document", "token"])
          .setOutputCol("entity")
          .setEntities(
              path="file:///"
              + os.getcwd()
              + "/../src/test/resources/entity-extractor/test-phrases.txt"
          )
      )
      assembled = document_assembler.transform(self.data)
      tokenized = tokenizer.fit(assembled).transform(assembled)
      entity_extractor.fit(tokenized).transform(tokenized).show()
  
file_path: spark-nlp/python/test/annotator/matcher/text_matcher_test.py
imports: import os
  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 TextMatcherTestSpec obj's underlying member method code with example usage: obj.runTest() without return types