code: def test_triangles(input_combo):
      G = input_combo["G"]
      Gnx = input_combo["Gnx"]
      nx_triangle_results = cudf.DataFrame()
  
      if input_combo["start_list"]:
          # sample k nodes from the nx graph
          k = random.randint(1, 10)
          start_list = random.sample(list(Gnx.nodes()), k)
      else:
          start_list = None
  
      cugraph_triangle_results = cugraph.triangle_count(G, start_list)
  
      triangle_results = (
          cugraph_triangle_results.sort_values("vertex")
          .reset_index(drop=True)
          .rename(columns={"counts": "cugraph_counts"})
      )
  
      dic_results = nx.triangles(Gnx, start_list)
      nx_triangle_results["vertex"] = dic_results.keys()
      nx_triangle_results["counts"] = dic_results.values()
      nx_triangle_results = nx_triangle_results.sort_values(
          "vertex"
      ).reset_index(drop=True)
  
      triangle_results["nx_counts"] = nx_triangle_results["counts"]
      counts_diff = triangle_results.query(
          "nx_counts != cugraph_counts"
      )
      assert len(counts_diff) == 0
  
file_path: cugraph/python/cugraph/cugraph/tests/community/test_triangle_count.py
imports: import gc
  import random
  import networkx
  import pytest
  import cudf
  import cugraph
  from cugraph.testing import utils, UNDIRECTED_DATASETS
  from cugraph.datasets import karate_asymmetric
  from pylibcugraph.testing.utils import gen_fixture_params_product
label_desc: Use image node_id 3 for calling a global function with example usage: test_triangles(input_combo) without return types