code: def setUp(self):
      self.data = SparkSessionForTest.spark.createDataFrame(
          [
              [
                  """<span style="font-weight: bold; font-size: 8pt">
                       <pre style="font-family: verdana">
                        <b>The Output Y(s) of the fig. is:
                         <br /><br />
                         <img src="http://192.168.5.151/UADP4.0/ItemAuthoring/QuestionBank/Resources/94954.jpeg" />
                        </b>
                       </pre>
                      </span>"""
              ],
              [
                  """<!DOCTYPE html>
                      <html>
                      <body>
                      <a class='w3schools-logo notranslate' href='//www.w3schools.com'>w3schools<span class='dotcom'>.com</span></a>
                      <h1 style="font-size:300%;">This is a heading</h1>
                      <p style="font-size:160%;">This is a paragraph containing some PII like jonhdoe@myemail.com ! John is now 42 years old.</p>
                      <p style="font-size:160%;">48% of cardiologists treated patients aged 65+.</p>
                      
                      </body>
                      </html>"""
              ],
          ]
      ).toDF("text")
  
file_path: spark-nlp/python/test/annotator/document_normalizer_spec.py
imports: import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkSessionForTest
label_desc: Use image node_id 1 for calling the DocumentNormalizerSpec obj's underlying member method code with example usage: obj.setUp() without return types