code: def setUp(self):
      random.seed(123)
  
      long_string = "asa;sasdfjasdio;fio;asdnfasdvnvao;asduifvnavjasdfasdfasfasasdfasdfasdfasdfasdfsdfasgnuavpidcvaspdivnaspdivninasduinguipghauipsdfnvaspfighapsdifnasdifnasdpighuignpaguinpgiasidfjasdfjsdofgiongag"  # noqa: E501
  
      self.records = iter(
          [
              (
                  (long_string, {"name": "Margret", "age": "32"}),
                  ("2", {"name": "Marga", "age": "33"}),
              ),
              (
                  ("2", {"name": "Marga", "age": "33"}),
                  ("3", {"name": "Maria", "age": "19"}),
              ),
              (
                  ("4", {"name": "Maria", "age": "19"}),
                  ("5", {"name": "Monica", "age": "39"}),
              ),
              (
                  ("6", {"name": "Monica", "age": "39"}),
                  ("7", {"name": "Mira", "age": "47"}),
              ),
              (
                  ("8", {"name": "Mira", "age": "47"}),
                  ("9", {"name": "Mona", "age": "9"}),
              ),
          ]
      )
  
      deduper = dedupe.Dedupe([{"field": "name", "type": "String"}])
      self.data_model = deduper.data_model
      self.classifier = MockClassifier()
  
      self.classifier.weight = -1.0302742719650269
      self.classifier.bias = 4.76
  
      score_dtype = [("pairs", "<U192", 2), ("score", "f4")]
  
      self.desired_scored_pairs = numpy.array(
          [
              ((long_string, "2"), 0.96),
              (["2", "3"], 0.96),
              (["4", "5"], 0.78),
              (["6", "7"], 0.72),
              (["8", "9"], 0.84),
          ],
          dtype=score_dtype,
      )
  
imports: import random
  import unittest
  import numpy
  import scipy.special
  import dedupe
label_desc: Use image node_id 1 for calling the ScoreDuplicates obj's underlying member method code with example usage: obj.setUp() without return types