code: def setUp(self):
      self.spark = SparkSessionForTest.spark
      self.text = "This is a text input"
      self.textDataSet = self.spark.createDataFrame([[self.text]]).toDF(
          "text"
      )
  
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
  
      regex_tok = (
          RegexTokenizer()
          .setInputCols(["document"])
          .setOutputCol("token")
      )
  
      pipeline = Pipeline().setStages([document_assembler, regex_tok])
      self.model = pipeline.fit(self.textDataSet)
  
imports: import os
  import unittest
  import pytest
  from pyspark.sql.functions import col
  from sparknlp.pretrained import PretrainedPipeline
  from test.util import SparkSessionForTest, SparkContextForTest
  from sparknlp.annotator import *
  from sparknlp.base import *
label_desc: Use image node_id 1 for calling the LightPipelineTextSetUp obj's underlying member method code with example usage: obj.setUp() without return types