code: def _call_plc_jaccard(
      sID,
      mg_graph_x,
      vertex_pair,
      use_weight,
      do_expensive_check,
      vertex_pair_col_name,
  ):
      first = vertex_pair[vertex_pair_col_name[0]]
      second = vertex_pair[vertex_pair_col_name[1]]
  
      return pylibcugraph_jaccard_coefficients(
          resource_handle=ResourceHandle(
              Comms.get_handle(sID).getHandle()
          ),
          graph=mg_graph_x,
          first=first,
          second=second,
          use_weight=use_weight,
          do_expensive_check=do_expensive_check,
      )
  
file_path: cugraph/python/cugraph/cugraph/dask/link_prediction/jaccard.py
imports: from dask.distributed import wait, default_client
  import cugraph.dask.comms.comms
  import dask_cudf
  import cudf
  from cugraph.dask.common.input_utils import get_distributed_data
  from cugraph.utilities import renumber_vertex_pair
  from pylibcugraph import jaccard_coefficients
  from pylibcugraph import ResourceHandle
label_desc: Use image node_id 2 for calling a global function with example usage: _call_plc_jaccard(sID, mg_graph_x, vertex_pair, use_weight, do_expensive_check, vertex_pair_col_name) and returns: pylibcugraph_jaccard_coefficients