code: def _replicate_adjlist(self):
      client = mg_utils.get_client()
      comms = Comms.get_comms()
  
      # FIXME: There  might be a better way to control it
      if client is None:
          return
  
      weights = None
      offsets_futures = replication.replicate_cudf_series(
          self.adjlist.offsets, client=client, comms=comms
      )
      indices_futures = replication.replicate_cudf_series(
          self.adjlist.indices, client=client, comms=comms
      )
  
      if self.adjlist.weights is not None:
          weights = replication.replicate_cudf_series(
              self.adjlist.weights
          )
      else:
          weights = {worker: None for worker in offsets_futures}
  
      merged_futures = {
          worker: [
              offsets_futures[worker],
              indices_futures[worker],
              weights[worker],
          ]
          for worker in offsets_futures
      }
      self.batch_adjlists = merged_futures
  
imports: from cugraph.structure import graph_primtypes_wrapper
  from cugraph.structure.graph_primtypes_wrapper import Direction
  from cugraph.structure.symmetrize import symmetrize
  from cugraph.structure.number_map import NumberMap
  import cugraph.dask.common.mg_utils
  import cudf
  import dask_cudf
  import cugraph.dask.comms.comms
  import pandas
  import numpy
  import warnings
  from cugraph.dask.structure import replication
  from typing import Union, Dict
  from pylibcugraph import get_two_hop_neighbors, select_random_vertices
  from pylibcugraph import ResourceHandle, GraphProperties, SGGraph
label_desc: Use image node_id 15 for calling the simpleGraphImpl obj's underlying member method code with example usage: obj._replicate_adjlist() without return types