code: def setUp(self):
      from sparknlp.training import POS
  
      self.data = (
          SparkContextForTest.spark.createDataFrame([["十四不是四十"]])
          .toDF("text")
          .cache()
      )
      self.train = POS().readDataset(
          SparkContextForTest.spark,
          os.getcwd()
          + "/../src/test/resources/word-segmenter/chinese_train.utf8",
          delimiter="|",
          outputPosCol="tags",
          outputDocumentCol="document",
          outputTextCol="text",
      )
  
file_path: spark-nlp/python/test/annotator/ws/word_segmenter_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 1 for calling the WordSegmenterTestSpec obj's underlying member method code with example usage: obj.setUp() without return types