code: def test_benchmark_biasedrandomwalk(self, benchmark):
      g = example_graph_random(n_nodes=100, n_edges=500)
      biasedrw = BiasedRandomWalk(g)
  
      nodes = np.arange(0, 50)
      n = 2
      p = 2
      q = 3
      length = 5
  
      benchmark(
          lambda: biasedrw.run(
              nodes=nodes, n=n, p=p, q=q, length=length
          )
      )
  
imports: import numpy
  import pandas
  import pytest
  import networkx
  from stellargraph.data.explorer import BiasedRandomWalk
  from stellargraph.core.graph import StellarGraph
  from ..test_utils.graphs import create_test_graph, example_graph_random
label_desc: Use image node_id 7 for calling the TestBiasedRandomWalk obj's underlying member method code with example usage: obj.test_benchmark_biasedrandomwalk(benchmark) without return types