code: def run(self, use_settings=False):
      if use_settings and os.path.exists(self.settings_file):
          with open(self.settings_file, "rb") as f:
              deduper = dedupe.StaticDedupe(f)
  
      else:
          variables = [
              {"field": "name", "type": "String"},
              {"field": "name", "type": "Exact"},
              {"field": "address", "type": "String"},
              {
                  "field": "cuisine",
                  "type": "ShortString",
                  "has missing": True,
              },
              {"field": "city", "type": "ShortString"},
          ]
  
          deduper = dedupe.Dedupe(variables, num_cores=5)
          deduper.prepare_training(
              self.data,
              training_file=self.training_pairs_filelike,
              sample_size=10000,
          )
          deduper.train(index_predicates=True)
          with open(self.settings_file, "wb") as f:
              deduper.write_settings(f)
  
      return deduper.partition(self.data, threshold=0.5)
  
file_path: dedupe/benchmarks/benchmarks/canonical.py
imports: import io
  import os
  import time
  from itertools import combinations
  import dedupe
  from benchmarks import common
label_desc: Use image node_id 3 for calling the Canonical obj's underlying member method code with example usage: obj.run(use_settings) and returns: deduper