code: def test_jaccard_nx(read_csv):
      M_cu, M, _ = read_csv
      Gnx = nx.from_pandas_edgelist(
          M, source=SRC_COL, target=DST_COL, create_using=nx.Graph()
      )
  
      nx_j = nx.jaccard_coefficient(Gnx)
      nv_js = sorted(nx_j, key=len, reverse=True)
  
      ebunch = M_cu.rename(
          columns={
              SRC_COL: VERTEX_PAIR_FIRST_COL,
              DST_COL: VERTEX_PAIR_SECOND_COL,
          }
      )
      ebunch = ebunch[[VERTEX_PAIR_FIRST_COL, VERTEX_PAIR_SECOND_COL]]
      cg_j = cugraph.jaccard_coefficient(Gnx, ebunch=ebunch)
  
      assert len(nv_js) > len(cg_j)
  
imports: import gc
  import pytest
  import networkx
  import cudf
  import cugraph
  from cugraph.datasets import netscience
  from cugraph.testing import utils, UNDIRECTED_DATASETS
  from cudf.testing import assert_series_equal
  from cudf.testing.testing import assert_frame_equal
label_desc: Use image node_id 11 for calling a global function with example usage: test_jaccard_nx(read_csv) without return types