code: def _call_plc_uniform_random_walks(sID, mg_graph_x, st_x, max_depth):
      return pylibcugraph_uniform_random_walks(
          resource_handle=ResourceHandle(
              Comms.get_handle(sID).getHandle()
          ),
          input_graph=mg_graph_x,
          start_vertices=st_x,
          max_length=max_depth,
      )
  
file_path: cugraph/python/cugraph/cugraph/dask/sampling/random_walks.py
imports: from dask.distributed import wait, default_client
  import dask_cudf
  import cudf
  import operator
  from cugraph.dask.common.part_utils import persist_dask_df_equal_parts_per_worker
  from pylibcugraph import ResourceHandle
  from pylibcugraph import uniform_random_walks
  from cugraph.dask.comms import comms
label_desc: Use image node_id 2 for calling a global function with example usage: _call_plc_uniform_random_walks(sID, mg_graph_x, st_x, max_depth) and returns: pylibcugraph_uniform_random_walks