code: def bench_pagerank(gpubenchmark, transposed_graph):
      pagerank = (
          dask_cugraph.pagerank
          if is_graph_distributed(transposed_graph)
          else cugraph.pagerank
      )
      gpubenchmark(pagerank, transposed_graph)
  
imports: import pytest
  import numpy
  import pytest_benchmark
  import rmm
  import dask_cudf
  from pylibcugraph.testing import gen_fixture_params_product
  import cugraph
  import cugraph.dask
  from cugraph.structure.number_map import NumberMap
  from cugraph.generators import rmat
  from cugraph.testing import utils, mg_utils
  from cugraph.utilities.utils import is_device_version_less_than
  from cugraph_benchmarking.params import directed_datasets, undirected_datasets, managed_memory, pool_allocator
label_desc: Use image node_id 13 for calling a global function with example usage: bench_pagerank(gpubenchmark, transposed_graph) without return types