code: def run_sampling_test(ddf, start_list):
      df, time_ls = sample_graph(ddf, start_list)
      time_ar = np.asarray(time_ls)
      time_mean = time_ar.mean()
      print(f"Sampling {len(start_list):,} took = {time_mean*1e-6} ms")
      return
  
file_path: cugraph/benchmarks/shared/build_cugraph_ucx/test_cugraph_sampling.py
imports: from dask_cuda import LocalCUDACluster
  from dask.distributed import Client
  import rmm
  import numpy
  from time import perf_counter_ns
  from cugraph.dask.comms import comms
  from cugraph.dask import uniform_neighbor_sample
  from cugraph import MultiGraph
  from cugraph.generators import rmat
label_desc: Use image node_id 4 for calling a global function with example usage: run_sampling_test(ddf, start_list) without return types