code: def computeAdjList(graphObj, transposed=False):
      """
      Compute the adjacency list (or transposed adjacency list if transposed is
      True) on the graph obj. This can be run as a benchmark itself, and is often
      run separately so adj list computation isn't factored into an algo
      benchmark.
      """
      if transposed:
          G.view_transposed_adj_list()
      else:
          G.view_adj_list()
  
file_path: cugraph/python/utils/run_benchmarks.py
imports: import argparse
  import sys
  from collections import OrderedDict
  from scipy.io import mmread
  import cugraph
  import cudf
  from benchmark import Benchmark
label_desc: Use image node_id 4 for calling a global function with example usage: computeAdjList(graphObj, transposed) without return types