code: def make_report(data, clustering):
      true_dupes = common.get_true_dupes(data)
      predicted_dupes = set([])
      for cluser_id, _ in clustering:
          for pair in combinations(cluser_id, 2):
              predicted_dupes.add(frozenset(pair))
  
      return common.Report.from_scores(true_dupes, predicted_dupes)
  
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 1 for calling a global function with example usage: make_report(data, clustering) and returns: common