code: def bench_jaccard(gpubenchmark, unweighted_graph):
      G = unweighted_graph
      jaccard = (
          dask_cugraph.jaccard
          if is_graph_distributed(G)
          else cugraph.jaccard
      )
      gpubenchmark(jaccard, G)
  
imports: import pytest
  import numpy
  import pytest_benchmark
  import rmm
  import dask_cudf
  from pylibcugraph.testing import gen_fixture_params_product
  import cugraph
  import cugraph.dask
  from cugraph.structure.number_map import NumberMap
  from cugraph.generators import rmat
  from cugraph.testing import utils, mg_utils
  from cugraph.utilities.utils import is_device_version_less_than
  from cugraph_benchmarking.params import directed_datasets, undirected_datasets, managed_memory, pool_allocator
label_desc: Use image node_id 17 for calling a global function with example usage: bench_jaccard(gpubenchmark, unweighted_graph) without return types