code: def test_leiden_golden_results(input_and_expected_output):
      expected_partition = input_and_expected_output["expected_output"][
          "partition"
      ]
      expected_mod = input_and_expected_output["expected_output"][
          "modularity_score"
      ]
  
      result_partition = input_and_expected_output["result_output"][
          "partition"
      ]
      result_mod = input_and_expected_output["result_output"][
          "modularity_score"
      ]
  
      assert abs(expected_mod - result_mod) < 0.0001
  
      expected_to_result_map = {}
      for e, r in zip(
          expected_partition, list(result_partition.to_pandas())
      ):
          if e in expected_to_result_map.keys():
              assert r == expected_to_result_map[e]
  
          else:
              expected_to_result_map[e] = r
  
file_path: cugraph/python/cugraph/cugraph/tests/community/test_leiden.py
imports: import gc
  import time
  import pytest
  import networkx
  import cugraph
  import cudf
  from cugraph.testing import utils, UNDIRECTED_DATASETS
  from cugraph.datasets import karate_asymmetric
label_desc: Use image node_id 8 for calling a global function with example usage: test_leiden_golden_results(input_and_expected_output) without return types