code: def setUp(self):
      data_d = {
          100: {"name": "Bob", "age": "50", "dataset": 0},
          105: {"name": "Charlie", "age": "75", "dataset": 1},
          110: {"name": "Meredith", "age": "40", "dataset": 1},
          115: {"name": "Sue", "age": "10", "dataset": 0},
          120: {"name": "Jimbo", "age": "21", "dataset": 0},
          125: {"name": "Jimbo", "age": "21", "dataset": 0},
          130: {"name": "Willy", "age": "35", "dataset": 0},
          135: {"name": "Willy", "age": "35", "dataset": 1},
          140: {"name": "Martha", "age": "19", "dataset": 1},
          145: {"name": "Kyle", "age": "27", "dataset": 0},
      }
  
      self.blocker = dedupe.blocking.Fingerprinter(
          [dedupe.predicates.TfidfTextSearchPredicate(0.0, "name")]
      )
  
      self.records_1 = dict(
          (record_id, record)
          for record_id, record in data_d.items()
          if record["dataset"] == 0
      )
  
      self.fields_2 = dict(
          (record_id, record["name"])
          for record_id, record in data_d.items()
          if record["dataset"] == 1
      )
  
file_path: dedupe/tests/test_blocking.py
imports: import unittest
  from collections import defaultdict
  import dedupe
label_desc: Use image node_id 1 for calling the TfIndexUnindex obj's underlying member method code with example usage: obj.setUp() without return types