code: def setUp(self):
      self.data = SparkSessionForTest.spark.createDataFrame(
          [
              [
                  "Meanwhile Prime Minister Ehud Barak told Israeli television he doubts a peace deal can be reached before Israel''s February 6th election. He said he will now focus on suppressing Palestinian violence."
              ],
              [
                  "John loves Mary because she knows how to treat him. She is also fond of him. John said something to Mary but she didn't respond to him."
              ],
              ["the "],
              ["  "],
              [" "],
          ]
      ).toDF("text")
  
      self.tested_annotator = (
          SpanBertCorefModel()
          .pretrained()
          .setInputCols(["sentences", "tokens"])
          .setOutputCol("corefs")
      )
  
file_path: spark-nlp/python/test/annotator/coref/spanbert_coref_test.py
imports: import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.annotator.common.has_max_sentence_length_test import HasMaxSentenceLengthTests
  from test.util import SparkSessionForTest
label_desc: Use image node_id 1 for calling the SpanBertCorefTestSpec obj's underlying member method code with example usage: obj.setUp() without return types