code: def test_dask_mg_random_walks(dask_client, benchmark, input_graph):
      path_data, seeds, max_depth = calc_random_walks(input_graph)
      df_G = input_graph.input_df.compute().reset_index(drop=True)
      check_random_walks(input_graph, path_data, seeds, max_depth, df_G)
  
file_path: cugraph/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py
imports: import gc
  import random
  import pytest
  import cugraph
  import dask_cudf
  import cugraph.dask
  from cugraph.testing import SMALL_DATASETS
  from cugraph.datasets import karate_asymmetric
  from pylibcugraph.testing.utils import gen_fixture_params_product
label_desc: Use image node_id 5 for calling a global function with example usage: test_dask_mg_random_walks(dask_client, benchmark, input_graph) without return types