code: def runTest(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
  
      date_matcher = (
          DateMatcher()
          .setInputCols(["document"])
          .setOutputCol("date")
          .setOutputFormat("yyyyMM")
          .setSourceLanguage("en")
      )
  
      date_to_chunk = (
          Date2Chunk()
          .setInputCols(["date"])
          .setOutputCol("date_chunk")
          .setEntityName("DATUM")
      )
  
      pipeline = Pipeline(
          stages=[document_assembler, date_matcher, date_to_chunk]
      )
  
      model = pipeline.fit(self.data)
      model.write().overwrite().save("./tmp_date2chunk_model")
      PipelineModel.load("./tmp_date2chunk_model").transform(self.data)
  
file_path: spark-nlp/python/test/annotator/date2_chunk_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 Date2ChunkTestSpec obj's underlying member method code with example usage: obj.runTest() without return types